Anurag Shenoy
Machine Learning Engineer, Research at University of Florida
Navi Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAnurag Shenoy is a Machine Learning Engineer and researcher with a decade of experience and a MS in Computer Science from the University of Florida, specializing in NLP, MLOps, and scalable backend systems. He has led end-to-end ML projects—from training large models on supercomputing infrastructure and optimizing LLM inference to production deployments with Docker, Kubernetes, TensorFlow Serving and gRPC. His work spans applied research (co-authoring AI papers and decoding attention from live EEG) and high-impact product engineering (building agentic chatbots, 100+ secure REST APIs, and a 400% boost in annotation throughput). Notably, he reduced model tuning times by 75% through pipeline caching/prefetching and doubled inference capacity via production optimizations. Comfortable in cross-functional teams, he seeks roles that blend research rigor with product-driven Generative AI and LLM system design.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Electrical, Electronics and Communications Engineering, Bachelor of Technology, Electrical, Electronics and Communications Engineering at SIES Graduate School Of TechnologyMaster of Science - MS, Computer Science, 3.76, Master of Science - MS, Computer Science, 3.76 at University of Florida
Github Skills (68)
python10
bots10
markdown10
seven-segment-display10
statistics10
data-science10
obsidian10
data-analysis10
machine-learning10
scikit-learn10
conversational-ai9
scale9
chatbot9
database9
nlp9
Programming languages (6)
Github contributions (5)
shenoy-anurag/dsa-python
Aug 2020 - Jun 2025
Contributions:9 pushes, 3 branches in 4 years 10 months
shenoy-anurag/Aggre-Gator
Mar 2022 - Apr 2025
Hackathon Winning Project! Our project aggregates articles from a few news sites and shows them in one place for the convenience of the user.
Contributions:2 releases, 2 reviews, 15 PRs in 3 years 1 month
placeaggregatesconveniencesitesnews
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