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Shreyansh Bhalani
Mid-level Full-Stack & ML Engineer specializing in AI SaaS, MLOps, and cloud infrastructure
Edison, NJFounding Engineer3 years experienceMid-LevelSaaSTransportation & LogisticsTechnology
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About
Built and shipped an AI-powered driver ranking/assignment system at AffirmoAI using LLM intent classification + RAG over pgvector/Postgres, served via FastAPI with a React UI that explains scores. Drove measurable improvements through optimization and iteration (latency down to <800ms, adoption 60%→90%+) and implemented rigorous eval loops with dispatcher ground truth plus cold-start handling for new drivers.
Experience
Founding EngineerAffirmoAI
Software Engineer InternTiny Archives
Software DeveloperArcon Tech Solutions
Machine Learning Engineer InternDalal Naresh Vasanji
Full Stack Developer InternXircls
Education
New York University, Tandon School of Engineeringmaster, Computer Engineering (2026)
University of Mumbai, K.J. Somaiya College of Engineeringbachelor, Information Technology (2023)
Key Strengths
- Shipped production LLM+RAG system end-to-end (FastAPI backend + React UI) for driver ranking with explanations
- Performance optimization via caching and reduced feature set (3–4s to <800ms / ~700ms) while maintaining 85%+ accuracy
- User-feedback-driven iteration (added route preference learning; adoption improved from 60% to 90%+)
- Built evaluation loop with 200+ real scenarios, dispatcher ground truth, and weekly human reviews
- Solved cold-start problem for new drivers (<10 deliveries) with alternate weighting + similar-profile retrieval (accuracy 60%→78%)
- Designed scalable messy-data pipeline with normalization, retries, validation, observability; scaled 50→500+ deliveries/day while cutting geocoding API calls 80%
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