Faris Elshammouty AI Engineer

I build AI that holds up in production: measured, observable, and genuinely useful to the people who rely on it.

My focus is the full lifecycle of applied machine learning: framing the problem, choosing the right model strategy, and engineering the system around it, from data pipelines to evaluation, deployment, and monitoring. I care as much about latency, cost, and reliability as I do about accuracy.

Lately I work most with large language models: designing retrieval-augmented architectures, fine-tuning for narrow domains, and building tool-using agents that do real work safely. The part I enjoy most is when a rough prototype turns into dependable infrastructure.