Nihar Sanda
Boston, Massachusetts, United States
Summary
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RockstarNihar Sanda is a Machine Learning Engineer based in Boston with six years of hands-on experience building production-grade systems that blend knowledge graphs, computer vision, NLP, and multimodal models. At Northeastern’s Institute for Experiential AI he led development of PRISM and the novel eGoT algorithm, delivering state-of-the-art multi-hop reasoning and outperforming competing GraphRAG methods in biomedical settings. He has a track record of engineering scalable real-time inference on Kubernetes, privacy-preserving federated learning, and affect-recognition pipelines deployed across academic and classroom environments. Equally comfortable with research and production, his master’s thesis and publications demonstrate end-to-end systems combining Neo4j, GPT-family transformers, and vector search to process millions of documents and relations. He also brings startup and open-source experience—from co-founding a multi-tenant SaaS backend to mentoring and contributing to PEcAn and CERN-related projects—making him adept at translating cutting-edge research into practical impact.
6 years of coding experience
Github Skills (153)
chat10
javascript10
bayesian10
meta-analysis10
slack10
webrtc10
r9
animation9
face-recognition9
zulip9
api9
3d-reconstruction9
swift9
python9
collaboration9
Programming languages (16)
Github contributions (5)
koolgax99/koolgax99.github.io
Nov 2021 - Jun 2026
Contributions:75 pushes, 1 branch in 4 years 7 months
koolgax99/koolgax99
Jan 2021 - Feb 2024
Contributions:8 pushes, 1 branch in 3 years 1 month
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