Anubhav Kamal is a machine learning engineer with nine years of experience who combines a strong mathematics foundation from IIT Kharagpur with hands-on ML systems work across research and industry. He has developed and optimized deep learning algorithms and low-level kernels for NPUs and semiconductor AI workloads, bridging algorithmic research with production-grade performance tuning and MLOps. His background includes numerical PDE research and adjoint-based optimization, which informs a rigorous, physics-aware approach to modeling and system design. Now at JPMorgan Chase after impactful roles at Samsung Semiconductor and Ceremorphic, he focuses on scalable pipelines and deploying research-level models into real-world products. Notably, he has practical experience implementing math operators in C++ for proprietary hardware—an uncommon blend of low-level optimization and high-level ML expertise.
9 years of coding experience
4 years of employment as a software developer
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at Free Code Camp
Master’s Degree, Mathematics and Computer Science, Master’s Degree, Mathematics and Computer Science at Indian Institute of Technology, Kharagpur
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.