John Kamalu
Research Scientist at NVIDIA
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJohn Kamalu is a research scientist specializing in applied deep learning and natural language processing, currently advancing AI research at NVIDIA after an 11-year career spanning startups, industry, and academia. He combines hands-on engineering—from full-stack feature ownership at Redfin to implementing Keras/TensorFlow models for sentence simplification at SYSTRAN—with rigorous ML research in neural machine translation and denoising/variational methods. Educated at Stanford and École Polytechnique, he bridges US and European research cultures and has a track record of shipping both product features and novel model prototypes. A co-founder of a computer science education initiative in India, he brings entrepreneurial intuition and cross-cultural collaboration to technical problems. Passionate about environmental sustainability and design, he frequently explores applied AI solutions outside traditional product constraints.
11 years of coding experience
M1, Artificial Intelligence, M1, Artificial Intelligence at École PolytechniqueMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Stanford University
French, English
Github Skills (94)
transformers10
python10
transformer-models10
deep-learning10
machine-translation10
multimodal10
nmt10
scale10
generative-ai10
conversational-ai10
neural-network10
nlp10
chatbot10
nlp-machine-learning10
speech-synthesis10
Programming languages (6)
Github contributions (5)
choiben314/cs325b
Oct 2019 - Dec 2019
Road Mapping in Low-Data Environments
Contributions:26 commits, 5 PRs, 29 pushes in 1 month
mappingenvironmentsroad
rdiehlmartinez/attention_analysis
Mar 2020 - Apr 2020
Contributions:23 commits, 9 pushes in 1 month
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