Summary
Harsh Agarwal is an AI Engineer with a decade of experience building production-grade AI systems for financial domains, currently leading AI work at Eton Solutions LP. He combines rigorous training from a double major in Mathematics and Data Science at Purdue with hands-on deployment experience, moving from an AI internship into a full engineering role within a year. Comfortable across the ML lifecycle, he focuses on reliable, scalable models and their integration into financial workflows where correctness and latency matter. Outside engineering, he brings strong customer-facing skills honed managing member services and sales, which help translate stakeholder needs into pragmatic technical solutions. Colleagues describe him as detail-oriented and delivery-driven, with an unusual ability to bridge quantitative theory and operational product requirements.
10 years of coding experience
Double Major in Mathematics and Data Science, Double Major in Mathematics and Data Science at Purdue University