I turn ambitious ideas into dependable products.

I am a software and ML engineer based in Bengaluru. At Morgan Stanley, I own end-to-end systems used by more than 2,000 people across front-office workflows, helping reduce critical review time by 80 percent. My work brings product engineering, data platforms, and AI capabilities together into systems people can depend on.

Before that, at BaseRock.ai in Mountain View, I built a self-correcting agent for automated test generation and the evaluation harness around it. The platform scaled test generation 14x and reached 94 percent coverage for enterprise codebases. Earlier roles at MUFG and PES University gave me a grounding in large-scale engineering and resource-constrained speech research.

I graduated from PES University in June 2025 with a BTech in Computer Science Engineering, specializing in Machine Intelligence and Data Science. I finished with a 9.74 / 10 CGPA, earned the MRD Scholarship across six semesters, and ranked in the top 2 percent of the department. My capstone, Meta-ROS, became a published Python package, a US patent application, and a research publication.

I am most at home in ambiguous 0-to-1 work: understanding the problem, making the technical choices, and carrying the result through to a useful, well-run product.