Shripad Bhat

About Shripad Bhat

Building LLM-powered enterprise AI systems from experimentation to reliable production.I work at the intersection of AI, product, and engineering, turning ambiguous business problems into scalable AI systems that deliver measurable outcomes.My focus is designing and deploying LLM-powered systems that operate reliably in real-world environments where correctness, evaluation, and failure handling matter as much as model capability.I\'ve built AI workflows across the full lifecycle:problem framing → evaluation design → model development → system integration → production deployment → continuous improvement.What I work on:🧠 Large Language Models & Generative AI applications Retrieval-Augmented Generation (RAG) & knowledge-grounded systems AI evaluation, benchmarking & silent failure detection🤖 Agentic workflows & AI automation Applied NLP & unstructured data understanding Production ML systems, experimentation & iteration loops Python-based ML systems & scalable backend integrationWhat drives me:Building AI that moves beyond demos systems that are measurable, debuggable, and aligned with real business workflows.I\'m most energized by problems where AI directly improves decision-making, operational efficiency, or product intelligence at scale.

Experience

1. Ai Engineer

   Freehand

   Feb 2026 — Present · Goa, IN

Education

• Dhirubhai Ambani University

  Master of Technology - MTech, Machine Learning

  2019 — 2021

• Goa Engineering College - Government of Goa

  Bachelor's Degree, Electronics and Telecommunication Engineering

  2010 — 2014