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 (92)
python10
mxnet10
python-client10
deep-learning10
gpu10
ray10
neat10
openai-api10
neuroevolution10
redis-client10
ml10
numpy10
api10
neural-network10
petastorm10
Programming languages (4)
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
uber-research/ape-x
Aug 2018 - Nov 2020
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
Contributions:1 PR, 2 pushes, 1 comment in 2 years 3 months
experience-replayreplayprioritized-experience-replaydistributed
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