Pilot to Production: What Happens When You Scale Agents

Hi, I’m Hamza. I’m a founder by day and a professor by night, working at the intersection of Agents and Product Design.

I started Traversaal.ai with a simple goal: to build scalable AI products for startups and enterprises that integrate smoothly into existing systems while staying flexible and cost efficient.

We’ve had the opportunity to work with Fortune 100 companies, and the lessons from those experiences are woven directly into this course.

This course brings together everything I’ve learned in practice, along with the material I teach across universities.

I still spend a lot of time writing code, you can check out my GitHub.

I also share my thoughts and learnings on how organizations should think about moving demos to production grade scale on, The Production Gap: Substack.

Developing inference infrastructure for data centers, neoclouds and hyperscalers. Leading doctoral research in HPC distributed systems, SLO-Aware Inference Optimization and hardware-aware compiler design

Ex-founder and engineer at Abide, with over a decade of experience building production-level ML systems. At Abide, Abi developed neuro-symbolic AI models (presented at NeurIPS 2025) for reasoning in AI Agents and mostly spent her time architecting the platform and ops layer for reliable inference serving at scale for agentic applications.

Currently, finishing her next book on GPU Engineering for AI Systems: Inference Optimization & Scaling (Packt), which forms the backbone of this course.

Book Author (LLMOps, GPU Engineering for AI Systems - upcoming)