Rahil Bagheri is a GenAI manager and technical lead with 10+ years delivering production AI systems across healthcare, finance, mapping, and enterprise clients from the Washington DC–Baltimore area. He has led end-to-end GenAI and computer vision programs—building multi-agent RAG systems, AI avatars (Nvidia ACE), and low-latency agentic assistants used in real-world events like the US Open and multi-site hospital deployments. Comfortable bridging strategy and execution, he defines scope and pricing, runs executive workshops, and leads cross-functional teams of engineers and 3D modelers to turn POCs into scalable products. His background in mathematical statistics and industrial engineering underpins rigorous evaluation frameworks (including automated LLM-as-a-judge pipelines and custom metrics) that measurably improved retrieval accuracy and model quality. Notably, he has applied GenAI to underserved populations (multilingual medical eligibility assistant) and to high-stakes content pipelines (AR map object detection and fraud detection for regulatory comments), blending technical depth with mission-focused impact.
11 years of coding experience
6 years of employment as a software developer
Master's degree Industrial Engineering, Master's degree Industrial Engineering at Azad University (IAU)
nanodegree program Data Science, nanodegree program Data Science at Udacity
Bachelor's degree Mathematical Statistics and Probability, Bachelor's degree Mathematical Statistics and Probability at Sheikh Bahaei University
Master's degree Mathematical Statistics and Probability, Master's degree Mathematical Statistics and Probability at Georgia State University
Contributions:13 commits, 12 pushes, 1 branch in 2 years
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.