Jupinder Parmar
Member Of Technical Staff at D. E. Shaw Research
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolJupinder Parmar is a Member of Technical Staff with a decade of experience at the intersection of deep learning and biology, currently applying LLM research to drug discovery at D. E. Shaw Research. Previously he trained and led development of foundation language models at NVIDIA (including the Nemotron-4 series) and has blended product, research, and engineering roles across startups and academia. He holds an MS in Computer Science from Stanford, a BS in Mathematics, and is pursuing a PhD in Computational Biology, reflecting a rare mix of rigorous math, systems-scale ML, and domain biology. Jupinder’s background spans semi-supervised vision, reinforcement learning teaching, early-stage ML for neuroscience, and productizing small-molecule target platforms—an unusual combination that helps bridge model innovation with translational impact.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Weill Cornell Graduate School of Medical SciencesMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
English, Spanish, Punjabi
Github Skills (29)
speaker-diarization10
speech-to-text10
machine-translation10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
deep-learning10
generative-ai10
speaker-recognition10
asr10
natural-language-processing10
conversational-ai10
nlp10
Programming languages (4)
Github contributions (5)
jparmar32/gaze-robustness
Jun 2021 - Feb 2023
Contributions:17 PRs, 82 pushes, 15 branches in 1 year 8 months
jparmar32/jparmar32.github.io
Aug 2020 - Mar 2025
Contributions:236 pushes, 1 branch in 4 years 7 months
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