Senior Machine Learning Engineer at Imagry | Autonomous Driving
Harish, Haifa District, Israel
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Summary
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Senior
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Top School
Yotam Barnoy is a Senior Machine Learning Engineer and PhD in Computer Science with 16 years of experience building vision-based AI for automotive and embedded systems. He designs and ships end-to-end deep learning solutions—prototyping in PyTorch and Python, then optimizing for constrained targets in efficient C++ aligned with industry standards such as AUTOSAR. His background spans low-level systems and real-time software from early roles at Marvell and ECI Telecom to applied research work including a reinforcement-learning internship at JHU APL. A contributor to the core OCaml runtime—improving bytecode interpreter, TLS, and GC routines—he brings rare fluency across compilers, runtime internals, and production ML. Based in Harish, Israel, he combines academic rigor with hands-on deployment experience in occupant sensing, behavior detection, and tooling for neural network analysis.
The core OCaml system: compilers, runtime system, base libraries
Role in this project:
Back-end Developer
Contributions:2 reviews, 13 commits, 5 PRs in 4 years 8 months
Contributions summary:Yotam primarily focused on modifying the core OCaml system's bytecode interpreter and backtrace functionalities. Their contributions involved substituting pthread's TLS with normal TLS, and also refactoring related parts of the bytecode interpreter and backtrace. Furthermore, the user made updates to minor and major garbage collection routines. These changes suggest the user worked on improving the runtime environment of the OCaml compiler.
Contributions:338 commits, 40 pushes, 1 branch in 10 months
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