Roee Hendel
ML Research Engineer
I was most recently an Algorithm Developer at AI21 Labs.
There I worked on engineering challenges at the boundary of research, particularly in large-scale distributed training of LLMs with reinforcement learning.
Earlier at AI21 Labs, I worked on data, evaluation, and experimentation for fine-tuning (SFT), and on retrieval-augmented generation.
Overall, I have seven years of R&D experience in machine learning across deep learning, natural language processing, computer vision, and reinforcement learning, spanning both academic and industrial research.
I am a graduate of the Talpiot program, through which I completed a B.Sc. in Physics and Computer Science, and I hold an M.Sc. in Computer Science from Tel Aviv University.
I’m excited about tackling the core challenges toward achieving useful, efficient, and safe general intelligence.
selected publications
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Reducing LLM Training Waste with Model-Agnostic Padding MinimizationAI21 Labs technical blog, 2026Padding tokens in training batches waste computation; removing them cut model update time by up to 75%.