Guy Jacob is a Deep Learning Applied Research Engineer with eight years of professional experience, currently applying ML research at NVIDIA after a long tenure at Intel. He brings a solid foundation from a B.Sc. in Computer & Software Engineering from Technion and a track record of moving research code toward robust, production-ready systems. At Intel he focused on software engineering for ML infrastructure and contributed to Intel Labs’ popular reinforcement learning framework Coach, improving TF/NumPy compatibility, agent modularity, and S3 integrations. His work shows a practical blend of research sensitivity and pragmatic engineering—fixing deprecations, enabling logging, and smoothing breaking changes to keep experiments reproducible. Based in Israel’s Haifa District, he thrives at the intersection of applied research and tooling reliability, often addressing subtle system-level issues that let teams scale RL experimentation.
8 years of coding experience
15 years of employment as a software developer
B.Sc, Computer & Software Engineering, B.Sc, Computer & Software Engineering at Technion - Israel Institute of Technology
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Role in this project:
ML Engineer
Contributions:4 reviews, 75 commits, 18 PRs in 1 year
Contributions summary:Guy focused on improving the reinforcement learning framework "Coach" by addressing warnings and deprecation notices related to TensorFlow and NumPy. They added an "is_on_policy" property to various RL agents within the framework, enhancing code clarity and potentially improving the system's modularity. In addition, the user fixed a breaking change due to a minio update, ensuring the S3 data storage integration functions correctly. They also added support to log screen output to file.
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Guy Jacob - Deep Learning Applied Research Engineer at NVIDIA