Thomas Balestri
Senior Applied Scientist Amazon AGI
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolThomas Balestri is a Senior Applied Scientist with 11 years of ML and research experience, currently advancing LLM-based autonomous agents and post-training safety alignment at Amazon AGI. He has a strong track record building low-latency speech models for edge devices, fine-tuning large language models for enterprise customers in collaboration with Anthropic, and developing vision systems for visual search and tagging. A former high-energy nuclear/particle physicist and ATLAS collaborator with a Ph.D., he brings rigorous experimental design and statistical modeling expertise to production ML problems. Proficient in Python, C/C++, TensorFlow, PyTorch, and cloud-native tooling, he bridges research and deployment—moving models from state-of-the-art papers to edge and cloud products. Outside work he’s an avid runner and swimmer, reflecting a disciplined, endurance-oriented approach to long-term projects.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS) Biochemistry, Bachelor of Science (BS) Biochemistry at Indiana University BloomingtonDoctor of Philosophy (Ph.D.) Nuclear/Particle Physics, Doctor of Philosophy (Ph.D.) Nuclear/Particle Physics at Stony Brook University
Github Skills (84)
python10
deep-learning10
gpu10
ml10
numpy10
neural-network10
data-science10
tensorflow10
machine-learning10
jupyterlab10
deep-neural-networks10
face9
acceleration9
face-recognition9
mask9
Programming languages (6)
Github contributions (5)
Feynman27/pytorch-detect-to-track
Sep 2018 - Nov 2018
Contributions:5 commits, 6 pushes, 3 branches in 1 month
Feynman27/pytorch-detect-rfcn
Sep 2018 - Nov 2018
Contributions:3 commits, 4 pushes, 3 branches in 1 month
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