Kunj Mehta is a software developer with 8 years of experience building data-driven applications and regulatory systems at Barclays, where he modernizes trade settlement and risk reporting pipelines and led performance and storage optimizations that halved query times and cut storage by ~75%. He blends a strong data science background (MS in CS from Rutgers) with hands-on engineering in Python, C#, Java, SQL and AWS, shipping APIs, batched ETL workflows, and test strategies that boosted coverage from 20% to 55%. Previously he designed ML pipelines and zero-shot vision models for media tagging and NFT recommendation systems, scaling classification capacity fivefold and reducing false positives substantially. Comfortable bridging quantitative and engineering teams, he’s developed text-processing frameworks with Quants and mentored interns to deliver PoCs migrating reporting stacks to columnar stores. Outside work he writes a widely-read Medium blog on AI trends (50k+ views), signaling a commitment to stay at the intersection of research and production.
8 years of coding experience
Bachelor of Technology Computer Engineering, Bachelor of Technology Computer Engineering at University of Mumbai
Computer Science, Computer Science at Princeton University
IItians Pace, Thane
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Rutgers University
Contributions:35 commits, 33 pushes, 9 branches in 1 year 11 months
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