Jagnoor Grewal is a software engineer with 10 years of experience currently building robust, scalable trade workflows for Nonlinear Interest Rate Derivatives at J.P. Morgan. He transitioned from a scientific background in Toxicology and Developmental Genetics at UC Berkeley into software after a Computational Biology internship, bringing rigorous experimental thinking and data-driven problem solving to finance systems. Skilled in Python and full-stack teaching, he previously coached over 650 students at Fullstack Academy, improving class performance and piloting competency-based learning for under-represented groups. Jagnoor combines domain knowledge in complex derivatives with pragmatic engineering and mentorship, making him adept at translating intricate financial requirements into reliable production software.
10 years of coding experience
3 years of employment as a software developer
Bachelors of Science - Toxicology Bachelors of Arts - Developmental Genetics , Bachelors of Science - Toxicology Bachelors of Arts - Developmental Genetics at University of California, Berkeley
Software Engineering, Software Engineering at Fullstack Academy
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