Summary
Ahmed Khalil is an AI Engineer with nine years of experience building agentic, full-stack AI products that bridge research and real-world workflows. He combines deep RL and transformer expertise from academic research with hands-on software architecture—designing internal developer platforms, unified knowledge layers, and memory-enabled agents deployed with React and Python. At Proteinea he engineered hybrid retrieval systems (Qdrant + knowledge graphs), episodic/semantic memory, and a patent data extraction pipeline that turns PDFs into conversational protein insights. His background in robotics and reinforcement learning informs pragmatic RL environments and production-ready ML systems that directly guide wet-lab experiments. Based in Cairo, he brings a rare blend of biology-focused ML impact and platform-level thinking that accelerates cross-team delivery.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Karlsruhe Institute of Technology (KIT)
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Purdue University
Master of Science - MS, Robotics, Master of Science - MS, Robotics at University of Bristol
English, Arabic