We build the technology that helps your business grow

a man sitting in front of a laptop computer

From AI agents and machine learning to software products, IoT, and world-class design, all under one roof.

COMPANY BACKGROUND

We don’t just build technology. We build the systems that scale your business .

Agintex was founded on a single belief: the biggest barrier to business growth isn’t the absence of good technology, it’s the absence of the right team to build it.

We’re a North American technology company that covers the full stack of what modern businesses need to grow: AI systems, machine learning models, data engineering, software products, UX design, IoT infrastructure, and on-demand expert talent. We work with startups launching their first product, scale-ups enhancing what they’ve built, and enterprises running complex transformation programs.

What makes us different isn’t just capability, it’s speed, honesty, and genuine investment in your outcomes. We ship fast, communicate clearly, and stay with you after launch.

COMPANY TIMELINE

2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.

2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.

2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.
2020
The beginning
Agintex was founded with one goal: remove the bottlenecks slowing businesses down. The earliest projects were AI prototypes and software builds for a handful of early-adopter clients who believed fast, honest technology delivery was possible.
2021
First shipped systems
We completed our first AI deployment and machine learning integration for a fintech client. Proof that the model worked, fast builds, real results, no bloat.
2022
Growing the stack
The team expanded to cover more of what clients kept asking for: data engineering, IoT infrastructure, and UI/UX design. Full-stack technology delivery, all in one place.
2023
Scaling the team
Demand grew across North America and so did we. New engineers, new designers, new capabilities, and a sharper focus on agentic AI as the technology began reshaping every industry.
2024
AI at the center
With the rise of LLMs and multi-agent systems, Agintex moved AI to the core of everything we do. We expanded our generative AI and LLM integration practice to serve clients across fintech, healthcare, retail, and industrial sectors.
2025
Enterprise-ready
We launched our Tailored Enterprise Solutions and Experts on Demand services, allowing larger organizations to plug Agintex directly into their existing programs. Dozens of mid-market and enterprise clients onboarded.
Today
Still building
We haven’t slowed down. Every week is a new project, a new problem, a new opportunity to ship something that actually changes how a business runs. We’re not done yet, not even close.

MISSION & VISION

What drives us today, and what inspires us for tomorrow

person in red sweater holding babys hand

Misson

Vision

Our Mission

Build AI systems, software products, and data infrastructure that give businesses a real, measurable edge
Deliver fast, weeks not months; without cutting corners on quality or reliability.
Make every engagement clear, collaborative, and genuinely useful from day one
Stay invested in client outcomes long after the project ships

Misson

Vision

Our Mission

Build AI systems, software products, and data infrastructure that give businesses a real, measurable edge
Deliver fast, weeks not months; without cutting corners on quality or reliability.
Make every engagement clear, collaborative, and genuinely useful from day one
Stay invested in client outcomes long after the project ships

MISSION & VISION

What drives us today, and what inspires us for tomorrow

Misson

Vision

Our Mission

Build AI systems, software products, and data infrastructure that give businesses a real, measurable edge
Deliver fast, weeks not months; without cutting corners on quality or reliability.
Make every engagement clear, collaborative, and genuinely useful from day one
Stay invested in client outcomes long after the project ships

A WORD FROM OUR FOUNDER

"I started Agintex because I kept seeing the same problem: companies with genuinely good ideas, real potential, and motivated teams, held back not by ambition, but by the wrong technology or the wrong people building it. I’ve spent years at the intersection of technology and business growth, and the pattern is always the same. The companies that win aren’t the ones with the biggest budgets. They’re the ones that move fast, build smart, and find partners who are as invested in the outcome as they are. That’s what Agintex is. Not a vendor. Not a body shop. A genuine technology partner that gets in the trenches with you, ships things that actually work, and stays accountable for the results. If you’re building something, or trying to figure out how to get unstuck, I’d genuinely love to talk."

H Sohail.

Founder & CEO, Agintex

A WORD FROM OUR FOUNDER

H Sohail.

Founder & CEO, Agintex

HOW WE WORK — THE FORGE FRAMEWORK

How we work, and what makes the difference

Every project we take on is shaped by five principles we call FORGE, because great technology isn’t handed over, it’s built under pressure, refined with intent, and made to last.

Fast; Speed is a feature

We ship in weeks, not months. From kickoff to deployment, we keep momentum through every phase, no waiting, no bureaucracy, no stalled timelines. When you move fast without breaking things, you win.

Fast; Speed is a feature

We ship in weeks, not months. From kickoff to deployment, we keep momentum through every phase, no waiting, no bureaucracy, no stalled timelines. When you move fast without breaking things, you win.

Outcomes-First; We build with purpose

Every line of code, every model, every design decision is tied to a real business result. We don’t build impressive demos that sit unused; we build systems that drive measurable impact and justify every dollar spent.

Outcomes-First; We build with purpose

Relentless; We don’t stop at launch

Shipping is the beginning. We iterate, optimize, and stay invested long after handover. When something isn’t working yet, we don’t disappear; we go back in and make it right. That’s not extra effort, that’s just how we work.

Relentless; We don’t stop at launch

Genuine; No jargon. No bloat. No pretending.

We say what we mean and mean what we say. You’ll never get inflated scope, unnecessary complexity, or buzzwords used to mask a lack of substance; honest communication isn’t a soft skill for us, it’s a technical requirement.

Genuine; No jargon. No bloat. No pretending.

Expert; Deep capability across the full stack

Every engagement is backed by specialists who have genuinely done this before, not generalists Googling as they go. AI, ML, data engineering, IoT, software, design: depth in every discipline, all under one roof.

Expert; Deep capability across the full stack

FORGE isn’t a motto. It’s the standard we hold every project to, and the reason our clients come back.

HOW WE WORK — THE FORGE FRAMEWORK

How we work, and what makes the difference

Every project we take on is shaped by five principles we call FORGE, because great technology isn’t handed over, it’s built under pressure, refined with intent, and made to last.

Fast; Speed is a feature

We ship in weeks, not months. From kickoff to deployment, we keep momentum through every phase, no waiting, no bureaucracy, no stalled timelines. When you move fast without breaking things, you win.

Outcomes-First; We build with purpose

Relentless; We don’t stop at launch

Genuine; No jargon. No bloat. No pretending.

Expert; Deep capability across the full stack

FORGE isn’t a motto. It’s the standard we hold every project to, and the reason our clients come back.

KEY PERSONS

Meet the strategists, builders, and storytellers behind the magic

Hassaan S.

Co-Founder & CTO

The Architect

Hassaan brings the technical backbone that makes Agintex possible. With a Master of Science in Applied Data Science from the University of Chicago and a foundation in finance and marketing from the Lahore School of Economics, he bridges the gap between business thinking and AI engineering. Before co-founding Agintex, he led AI and machine learning implementations at Findd Inc., building enterprise-grade solutions for workforce analytics and integrations used across the ADP Marketplace. He is the reason our AI systems don't just work in a demo — they work in production, at scale, under pressure.

M.S. in Applied Data Science, University of Chicago
B.S. in Finance & Marketing, Lahore School of Economics

Qualification

Led AI and machine learning implementation strategy at Findd Inc., delivering enterprise solutions on the ADP Marketplace
Partnered with cross-functional teams to optimize operations, reduce support escalations, and grow annual recurring revenue in a fast-paced startup environment
Designed and deployed production-grade AI systems for workforce analytics serving multilingual, hourly, and distributed teams

Experience

AI system architecture and production deployment
Machine learning integration and enterprise AI
Data science and predictive analytics
Product management and cross-functional leadership

Area of Specialization

Hassaan S.

Co-Founder & CTO

The Architect

M.S. in Applied Data Science, University of Chicago
B.S. in Finance & Marketing, Lahore School of Economics

Qualification

Led AI and machine learning implementation strategy at Findd Inc., delivering enterprise solutions on the ADP Marketplace
Partnered with cross-functional teams to optimize operations, reduce support escalations, and grow annual recurring revenue in a fast-paced startup environment
Designed and deployed production-grade AI systems for workforce analytics serving multilingual, hourly, and distributed teams

Experience

AI system architecture and production deployment
Machine learning integration and enterprise AI
Data science and predictive analytics
Product management and cross-functional leadership

Area of Specialization

a man in a suit and tie sitting in a chair

Hassan J.

CEO & Founder

The Visionary

Hassan is the driving force behind Agintex. With eight years in the financial sector and a Master's in Public Policy from the University of Chicago's Harris School, he built his career at the intersection of risk, strategy, and execution. As a former Associate Director at Standard Chartered Bank, he led credit analysis, managed lending portfolios, and designed restructuring strategies that optimized billions in risk-weighted assets. He founded Agintex because he saw firsthand how businesses struggle to adopt technology without the right strategic partner — and he set out to build the company that fills that gap.

Master of Public Policy (MPP), Harris School of Public Policy, University of Chicago

Bachelor’s in Accounting & Business Management, University of Warsaw

Qualification

8+ years in the financial sector specializing in credit risk, portfolio management, and relationship management
Former Associate Director at Standard Chartered Bank — led credit analysis, managed lending approvals, and directed debt restructuring strategies
Deep expertise in financial statement analysis, risk-weighted asset optimization, and compliance-aware decision making

Experience

Business strategy and financial planning
Credit risk management and portfolio optimization
Enterprise consulting and client advisory
Policy-driven decision making and compliance

Area of Specialization

Hassan J.

CEO & Founder

The Visionary

Master of Public Policy (MPP), Harris School of Public Policy, University of Chicago

Bachelor’s in Accounting & Business Management, University of Warsaw

Qualification

8+ years in the financial sector specializing in credit risk, portfolio management, and relationship management
Former Associate Director at Standard Chartered Bank — led credit analysis, managed lending approvals, and directed debt restructuring strategies
Deep expertise in financial statement analysis, risk-weighted asset optimization, and compliance-aware decision making

Experience

Business strategy and financial planning
Credit risk management and portfolio optimization
Enterprise consulting and client advisory
Policy-driven decision making and compliance

Area of Specialization

Elena Voss

Head of AI Engineering

The Engineer

Elena is the technical engine behind every AI system Agintex delivers. She spent over a decade building machine learning infrastructure at scale — first at Google Brain, where she worked on large language model optimization, and later as a founding engineer at a Series B AI startup acquired by Salesforce. She holds a Ph.D. in Computer Science from MIT, specializing in reinforcement learning and multi-agent systems. At Agintex, she leads the AI engineering team and ensures that every model, pipeline, and deployment meets the standard her name has become synonymous with: production-ready, reliable, and built to last.

Ph.D. in Computer Science (Reinforcement Learning & Multi-Agent Systems), Massachusetts Institute of Technology (MIT)
B.S. in Computer Engineering, University of Toronto (Dean's Honor List)

Qualification

12+ years in AI/ML engineering, from research to production systems
Former Senior Research Engineer at Google Brain — contributed to LLM optimization and inference scaling
Founding ML Engineer at an AI startup (acquired by Salesforce) — built the core prediction engine from prototype to 10M+ daily inferences

Experience

Large language model deployment and optimization
Multi-agent AI system design
ML infrastructure and MLOps at scale
Reinforcement learning and decision systems

Area of Specialization

Elena Voss

Head of AI Engineering

The Engineer

Ph.D. in Computer Science (Reinforcement Learning & Multi-Agent Systems), Massachusetts Institute of Technology (MIT)
B.S. in Computer Engineering, University of Toronto (Dean's Honor List)

Qualification

12+ years in AI/ML engineering, from research to production systems
Former Senior Research Engineer at Google Brain — contributed to LLM optimization and inference scaling
Founding ML Engineer at an AI startup (acquired by Salesforce) — built the core prediction engine from prototype to 10M+ daily inferences

Experience

Large language model deployment and optimization
Multi-agent AI system design
ML infrastructure and MLOps at scale
Reinforcement learning and decision systems

Area of Specialization

KEY PERSONS

Meet the strategists, builders, and storytellers behind the magic

Hassaan S.

Co-Founder & CTO

The Architect

M.S. in Applied Data Science, University of Chicago
B.S. in Finance & Marketing, Lahore School of Economics

Qualification

Led AI and machine learning implementation strategy at Findd Inc., delivering enterprise solutions on the ADP Marketplace
Partnered with cross-functional teams to optimize operations, reduce support escalations, and grow annual recurring revenue in a fast-paced startup environment
Designed and deployed production-grade AI systems for workforce analytics serving multilingual, hourly, and distributed teams

Experience

AI system architecture and production deployment
Machine learning integration and enterprise AI
Data science and predictive analytics
Product management and cross-functional leadership

Area of Specialization

Hassan J.

CEO & Founder

The Visionary

Master of Public Policy (MPP), Harris School of Public Policy, University of Chicago

Bachelor’s in Accounting & Business Management, University of Warsaw

Qualification

8+ years in the financial sector specializing in credit risk, portfolio management, and relationship management
Former Associate Director at Standard Chartered Bank — led credit analysis, managed lending approvals, and directed debt restructuring strategies
Deep expertise in financial statement analysis, risk-weighted asset optimization, and compliance-aware decision making

Experience

Business strategy and financial planning
Credit risk management and portfolio optimization
Enterprise consulting and client advisory
Policy-driven decision making and compliance

Area of Specialization

Elena Voss

Head of AI Engineering

The Engineer

Ph.D. in Computer Science (Reinforcement Learning & Multi-Agent Systems), Massachusetts Institute of Technology (MIT)
B.S. in Computer Engineering, University of Toronto (Dean's Honor List)

Qualification

12+ years in AI/ML engineering, from research to production systems
Former Senior Research Engineer at Google Brain — contributed to LLM optimization and inference scaling
Founding ML Engineer at an AI startup (acquired by Salesforce) — built the core prediction engine from prototype to 10M+ daily inferences

Experience

Large language model deployment and optimization
Multi-agent AI system design
ML infrastructure and MLOps at scale
Reinforcement learning and decision systems

Area of Specialization

THE TEAM

Agintex wouldn’t be "Agintex" without this crew

Priya Menon

Lead Data Engineer

Marcus Engel

Senior AI Solutions Architect

Amara Okafor

UX Research & Design Lead

Daniel Reeves

Head of Client Success

THE TEAM

Agintex wouldn’t be "Agintex" without this crew

Priya Menon

Lead Data Engineer

Marcus Engel

Senior AI Solutions Architect

Amara Okafor

Business Operations Specialist

Daniel Reeves

Business Operations Specialist

CERTIFICATIONS & COMPLIANCE

Built to a standard. Certified to prove it.

We hold ourselves to the highest industry standards, so when you hand us your data, your infrastructure, or your product roadmap, you know exactly who you’re working with.