Mohd Aslam Khan, Data Science Manager at Tredence
Mohd
Aslam Khan
Data Science Manager · Since 2024
Meet the GOAT  ·  Pod 3

The difference between a dashboard and a decision-making system is reasoning.

Mohd Aslam Khan on leading an AI platform for a leading CPG client that doesn’t just tell the business what happened, but why — and what to do next.

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From Writing Code to Building the Brain

Mohd Aslam Khan on Leveraging Data to Think at Tredence

Where I Started

I’m one of those people who never really stopped being an engineer, even after I started leading engineers. During the day, I am an architect of AI platforms and mentor the people building them. By night (and most weekends), I’m a doctoral researcher in AI & ML, chasing the same questions from a different angle. At Tredence, I get to do both, and somehow they keep making each other sharper.

I was lucky to start working with Generative AI right as the technology was being born, and I never let go. I came up as an engineer at a leading IT services firm, sharpened my craft on enterprise AI at the next firm, and arrived at Tredence in 2024 as a developer who simply loved to build.

What I didn’t expect was how much I’d grow here. Tredence gave me flexibility and trust to not just architect systems, but to build the people around me. That’s where I became a leader who still writes production code, and the same work now fuels my doctoral research in AI & ML at Walsh College, where the real-world problems and the research constantly sharpen each other.

The Moment That Mattered

My proudest win is the AI platform we’re building for a leading CPG client, a system that’s transforming how their entire business runs on data. We’re moving them from static dashboards to something that doesn’t just tell them what happened, but why it happened and what’s likely next. Whether someone asks a quick question, wants an automated summary, or kicks off a deep, multi-step investigation, it draws on both their enterprise data and advanced data science models to answer. It’s the one platform of its kind in their ecosystem, built entirely by Tredence.

The moment it truly clicked wasn’t internal applause. It was earning recognition directly from the client. That’s when I knew we weren’t shipping a feature; we were building the brain.

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The difference between a dashboard and a decision-making system is reasoning. We stopped telling the business what happened and started helping it understand why, and what to do next.

Who Made It Possible

I’ve been lucky to have more than one. Ravindra Patil believed in me from the very start and handed me the opportunity to lead this platform; that early trust set everything in motion. Kashyap gave me visibility across the company and consistently pushed me to become the best version of myself. And my managers, Anand and Sameer, backed me at every step and helped me grow into the role.

None of them handed me answers. They created the room to lead, mentor, and own outcomes end-to-end, and that’s exactly what turned a strong developer into someone who can build both platforms and people.

What I’m Building Now

Right now, I’m deep in scaling that CPG platform, making it reason better, answer faster, and earn more of the business’s trust with every interaction. Alongside it, my doctoral research keeps feeding fresh ideas back into the work, which is the part I love most: the lab and the production floor talking to each other.

Come Build the Brain With Us.

Tredence works at the intersection of deep domain expertise and cutting-edge AI, building systems that real businesses depend on every day. If you want to ship AI that reasons, not just reports, we’re hiring.

Come Build the Brain →
Author
About the Author

Mohd Aslam Khan is a Data Science Manager at Tredence with a background spanning major IT services companies. He builds enterprise-scale Generative AI systems while still writing production code, and is currently pursuing doctoral research in AI & ML at Walsh College. He specialises in turning enterprise data into reasoning systems, and in mentoring the engineers who build them.