As a Senior Machine Learning Researcher specializing in Reinforcement Learning, I have led the development of sophisticated trading agents at Dreamers Inc, contributing to significant advancements in automated trading technologies. My expertise spans from crafting AI-driven credit scoring models and fraud detection systems at Shield to enhancing quantitative trading strategies at Niveshi.

At MoneyView, I leveraged data science to optimize financial recovery metrics and streamline operations, demonstrating my ability to innovate and drive efficiency. My career is characterized by a relentless pursuit of excellence, collaboration with industry experts, and a proven track record of delivering impactful technological solutions across diverse applications.

"Building intelligent agents that navigate the intersection of artificial intelligence and financial markets — where every decision counts and models must adapt in real time."

My journey began with a foundation in Electrical and Electronics Engineering, which gave me a deep understanding of signal processing, control systems, and mathematical modelling — skills that translate directly into the world of reinforcement learning and quantitative systems. From early research internships at the Indian Statistical Institute and robotics work at HackLab Innovations, I've consistently pushed the boundaries of what's possible with computation and intelligence.

Academic Background

B.E. in Electrical & Electronics Engineering B.M.S. College of Engineering (B.M.S.C.E.) — Bengaluru, India Aug 2015 — May 2019 · CGPA: 8.6

Early Research

Computer Vision Research Internship Indian Statistical Institute, Center for Soft Computing Research — Kolkata Jun 2018 — Jul 2018 · Summer Research Fellowship Programme, I.A.S.
Robotics & Computer Vision Research Internship HackLab Innovations — Bengaluru Jul 2017 — Aug 2017
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