Felipe Such
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFelipe Such is a Member of Technical Staff at OpenAI with 11 years of experience building and researching machine learning systems. He previously worked as a Research Scientist at Uber and conducted deep learning research on document understanding—covering classification, segmentation, and intelligent character recognition—during his time at Rochester Institute of Technology. Felipe’s background blends hands-on research and productionization of ML models, with a BS/MS in Computer Engineering from RIT and teaching experience supporting labs and coursework. Based in San Francisco, he brings practical expertise scaling ML research into real-world products and a track record of moving academic prototypes toward deployment. Notably, his career trajectory shows a steady shift from applied research into high-impact engineering roles at leading AI-driven companies.
11 years of coding experience
4 years of employment as a software developer
BS/MS, Computer Engineering, BS/MS, Computer Engineering at Rochester Institute of Technology
Portuguese, English
Github Skills (69)
python10
mxnet10
deep-learning10
gpu10
ray10
openai-api10
distributed-training10
sysml10
redis-client10
ml10
numpy10
neural-network10
petastorm10
spark10
redis-py10
Programming languages (6)
Github contributions (5)
fps7806/pytorch
Jun 2019 - Apr 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:7 pushes, 1 branch in 2 years 10 months
pythongpu-accelerationdeep-learninggpuacceleration
fps7806/triton
Oct 2022 - Jun 2025
Development repository for the Triton language and compiler
Contributions:1 push, 1 branch in 2 years 8 months
compilerscompiler-constructioncompiler-designcompilerpreprocessor
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