Ibrahim Shar is a machine learning research scientist with nine years of experience applying reinforcement learning, optimization, and operations research to real-world problems across Apple, Walmart, Hitachi, Amazon, and academia. He holds a Ph.D. from the University of Pittsburgh where he developed novel sequential decision-making algorithms and has multiple publications in top venues. Ibrahim blends deep theoretical expertise with production-minded engineering, having built simulators and custom Deep RL algorithms that accelerated learning in complex supply-chain settings. Comfortable moving between research and applied roles, he has driven ML solutions in both enterprise and R&D labs and recently transitioned into a research role at Apple. Known for leveraging structural problem insights to improve algorithmic performance, he also maintains a strong interest in GenAI and cross-disciplinary collaboration. Based in Sunnyvale, he focuses on creating scalable, impactful ML systems that bridge theory and practice.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at University of Pittsburgh Swanson School of Engineering
Cross Registration, Cross Registration at Carnegie Mellon University School of Computer Science
Master of Science (M.Sc.) Operations Research and Financial Engineering , Master of Science (M.Sc.) Operations Research and Financial Engineering at American University of Beirut
Masters in Engineering Management, Masters in Engineering Management at Lebanese University
Windy GridWorlds environments compatible with OpenAI gym.
Contributions:19 commits, 3 PRs, 13 pushes in 1 year 2 months
reinforcement-learningopenaiwindygymenvironments
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.
Request Free Trial
Ibrahim Shar - Machine Learning Research Scientist at Apple