Gurpreet Nanda
Sr. Dir, Head Of Applied Machine Learning at Bayer
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolGurpreet Nanda is a senior AI and data science leader with nine years of experience building applied machine learning platforms for pharmaceutical and medical research. Currently Head of Applied Machine Learning at Bayer, he has led teams to digitize historical experimental data, deploy CI/CD for ML models, and accelerate in-silico drug discovery from discovery through clinical stages. Previously at GSK he designed enterprise data science roadmaps and self-service decision solutions for vaccines, and earlier work at Weill Cornell blended deep learning for medical imaging with hands-on software engineering. Trained as a chemical and biomolecular engineer with research roots in -omics and mass spectrometry, he combines domain-heavy biotech expertise with pragmatic ML operations. He is known for translating complex biological datasets into automated, auditable ML workflows that balance speed-to-market with rigorous validation. Based in New Jersey, he brings a rare mix of research pedigree and enterprise-scale delivery in drug discovery AI.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering, Doctor of Philosophy (Ph.D.), Chemical and Biomolecular Engineering at National University of Singapore
Hindi, English, Punjabi
Github Skills (22)
golang9
nlp9
speech-recognition8
python8
deep-learning8
go8
mistral8
natural-language-processing8
machine-learning8
llama8
llm8
pytorch8
ollama7
tensorflow7
bert7
Programming languages (3)
Github contributions (5)
Gurpreethgnis/CapsNet
Nov 2017 - Nov 2017
Contributions:18 commits, 17 pushes in 2 days
Gurpreethgnis/Shukrana.io
Mar 2024 - Mar 2024
RSVP page for Shukrana for Gurnoor and Manroop Kaur
Contributions:71 pushes, 4 branches in 1 day
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