Contributed to the development of Marquee Prime Services - a portfolio, liquidity, and risk management application suite for institutional investors.- Built features to comprehensively capture and convey hedge fund performance metrics, providing transparency and insights to clients.- Developed an application streamlining position transfers between prime brokerage accounts, enhancing client operational efficiency.- Worked on enhancing core functionality and optimizing performance across the suite to improve user experience.

Conducted research on mitigating bias and inducing fairness in unsupervised graph representation learning under the guidance of Professor Ponnurangam Kumaraguru and Dr. Ramasuri Narayanam.- Identified limitations in existing graph neural network approaches that fail to address bias arising from connectivity patterns and node centrality variations in graph-form data- Leveraged graph intrinsics (structural information, node degree, centrality, etc.) to tune and debias representations generated by graph neural networks

Conducted research on goal prediction, trajectory forecasting, and object detection in adverse weather conditions for autonomous vehicles/robotics systems under the guidance of Prof. Madhava Krishna at the Robotics Research Center.- Developed and implemented algorithms to accurately predict movement trajectories and detect objects even in challenging environmental conditions like rain, fog, etc.- Tested and evaluated model performance on real-world datasets, identifying areas for improvement and optimizing for efficiency.- Implemented a fully-differentiable path planning optimizer that conforms to a constraint set. - Presented findings and insights at lab meetings, contributing to the center's research on safe autonomous navigation.

Served as a Teaching Assistant for the Automata Theory course, responsible for setting up quizzes, assignments, projects, and conducting tutorial sessions. Organized weekly seminars exploring emerging topics in automata and computational theory.

Served as a Teaching Assistant for the Computer Systems and Organization course, covering processor design, assembly programming, and memory design. Responsibilities included setting assignments, conducting tutorials, and grading quizzes and submissions. Developed scripts to streamline and automate the grading process for assignments, enhancing efficiency and consistency in evaluation.

Instrumented the Marquee Prime Services application suite to capture comprehensive product usage metrics and user-feature interactions. Enabled data-driven decision-making by providing insights into customer behaviors, directly informing product roadmap prioritization and strategic resource allocation based on captured user activity data.

Developed a comprehensive software license management solution comprising a license generation toolkit and standalone validation module using C++ and Qt. Implemented a web-based license tracker leveraging the MERN stack for centralized data collection and analysis of license usage metrics.