Summary
Vaibhav Sharma is an Open Source AI Engineer with 8 years of experience building production-grade ML and scalable systems, currently based in Bengaluru and affiliated with Georgia Tech. He combines a strong software-engineering background in JavaScript/TypeScript and micro-frontends with deep ML expertise—designing scalable pipelines, optimizing inference latency, and shipping ensemble and NLP models that materially improved business metrics. Notable work includes architecting a Model Context Protocol server for automated, large-scale physics simulations and leading Spark and ETL optimizations that cut compute costs and latency by substantial margins. Comfortable across research and production, he bridges retrieval-augmented reasoning, prompt chaining, and tool-calling loops with pragmatic system design to make AI research reproducible and queryable. Vaibhav’s skillset spans developer × designer sensibilities, enabling him to translate complex models into usable, high-performance systems that scale in real-world settings.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Motilal Nehru National Institute Of Technology
Master of Science - MS, Data Science, 3.8/4.0, Master of Science - MS, Data Science, 3.8/4.0 at Indiana University Bloomington