Ravi Mullapudi
Member Of Technical Staff at OpenAI
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolRavi Mullapudi is a machine learning researcher and software engineer with 11 years of experience building production-grade AI systems and research prototypes across industry leaders. Currently a Member of Technical Staff at OpenAI, he joined after roles as a Research Scientist at Skydio and Machine Learning Research Scientist at Snorkel AI, and multiple research internships and positions at Google, reflecting deep expertise at the intersection of research and productization. He holds a PhD in Computer Science from Carnegie Mellon and advanced degrees from IISc and IIITH, combining rigorous academic training with hands-on systems experience from NVIDIA and early-career engineering roles. Ravi’s background spans applied ML, autonomous systems, and data-centric AI, and he has a track record of moving research into deployed capabilities. Based in Palo Alto, he brings both lab-grade rigor and production engineering discipline to high-impact AI projects.
11 years of coding experience
8 years of employment as a software developer
Master's degree, Master's degree at Indian Institute of Science (IISc)Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at International Institute of Information Technology Hyderabad (IIITH)Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
portable10
parallel10
computation10
image-processing10
dsl10
halide10
parallel-computing10
gpu10
compiler10
arm10
image5
photography4
benchmark3
benchmarking3
reference-implementation1
Programming languages (1)
Github contributions (5)
ravi-teja-mullapudi/Halide
Oct 2015 - Apr 2016
Contributions:109 commits, 1 PR, 222 pushes in 6 months
imagephotographyimage-processingcomputational-photographycomputational
ravi-teja-mullapudi/maskrcnn-benchmark
Mar 2019 - Aug 2019
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Contributions:31 pushes in 5 months
pytorchdeep-learningobject-detectioncomputer-visionmask-rcnn
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