Omar Bahgat
AI Product Manager
Building AI products that work. Turning data, automation, and intelligence into usable systems for enterprises.
About
I'm an AI Product Manager with a background in engineering and business analytics. I design and lead AI products that automate operations and improve decisions — from concept to scale.
AI Systems & Architecture
I focus on building AI products that go beyond prototypes — systems designed to think, learn, and scale. My work combines product strategy with deep system design: context engineering, evaluation pipelines, memory architectures, and intelligent agents that perform real tasks, not just generate text.
I design context pipelines that structure and prioritize information for LLMs — integrating embeddings, retrieval systems, and task-aware prompts. Through context windows and memory routing, models maintain continuity, relevance, and accuracy across sessions — enabling multi-step reasoning and adaptive responses for enterprise workflows.
I build Evals frameworks that test real-world performance: accuracy, latency, cost, and consistency. Using structured evaluation loops (LLM-as-a-judge, user feedback, and synthetic tests), I ensure every agent, prompt, and model is benchmarked against business goals — not just benchmarks. The goal: reliable, explainable, and production-ready AI systems.
I design data architectures that connect knowledge, retrieval, and long-term memory. This includes vector databases, embeddings orchestration, and knowledge maps that allow agents to navigate structured and unstructured data efficiently — bridging systems, documents, and APIs.
From workflow automation to enterprise knowledge search, my agents follow structured reasoning loops — plan → act → observe → learn. These systems are built on multi-agent frameworks, integrating APIs, business data, and logic to automate complex tasks in engineering, operations, and analytics environments.
From data ingestion to agent orchestration, every layer — context, evals, memory, and interface — is designed to deliver measurable impact, not just answers. This systematic approach ensures AI systems are production-ready, scalable, and aligned with business objectives.
How I Build.
A systematic approach to creating AI products that deliver real value.