Rabindra Nepal
Principal Data Scientist
United States
Summary
👤
Senior🎓
Top SchoolRabindra Nepal is a Principal Data Scientist with a PhD in physics and nine years of experience translating rigorous scientific thinking into production ML and generative AI solutions across corporate, HR, and commercial functions. At Johnson & Johnson he leads end-to-end generative AI application development and data integration to drive workforce innovation and optimize new-asset commercial strategies, while earlier work at Zoetis produced predictive models and computer-vision systems for precision animal health. His background in theoretical and computational condensed matter physics gives him deep modeling intuition and a comfort with complex, privacy-sensitive data from sensors, genomics, and imaging. Rabindra combines research-grade analytical rigor with product delivery—designing pilots, managing regulated data pipelines, and partnering across teams to operationalize ML in real-world settings. An uncommon strength is his fluency across simulation-driven research and applied ML, enabling creative solutions like automated phenotype collection and high-resolution pathology scanning.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Physics Statistics and Math, Bachelor of Science - BS Physics Statistics and Math at Tribhuvan UniversityMaster of Science (M.Sc.) Physics, Master of Science (M.Sc.) Physics at Jawaharlal Nehru UniversityDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Nebraska-LincolnSchool, School at Shree Madadev Secondary School, Nuwakot, NepalHigh School Science, High School Science at Nobel Academy Higher Secondary School, Kathmandu, Nepal
English, Nepali, Hindi
Github Skills (12)
gnn10
pytorch8
cheminformatics8
rdkit7
deep-learning7
streamlit4
generative4
chromadb4
generative-ai4
azure3
multiagent-systems2
openai2
Programming languages (2)
Github contributions (5)
rnepal2/ML-Experiments
Jan 2019 - Feb 2022
Contributions:40 commits, 35 pushes in 3 years 1 month
rnepal2/Solubility-Prediction-with-Graph-Neural-Networks
Sep 2021 - Jan 2023
GNN, GCN, Molecular Solubility, RDKit, Cheminformatics
Contributions:28 commits, 29 pushes, 1 branch in 1 year 4 months
cheminformaticsgnnrdkitgraph-neural-networkspytorch
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