Collaborated with the professor to develop instructional materials that reinforce core algorithmic concepts.Facilitated weekly review sessions for a cohort of 100 students, focusing on algorithm optimization techniquesAssisted students with algorithmic problem-solving and complexity analysis, enhancing their understanding of computational efficiency.

Implemented REST API routes to manage notification settings for battery chargers, improving user control and flexibility.Designed and developed a React component interface for editing notification settings, enhancing user experience.Created an AWS Lambda function to send notifications based on user-defined settings, ensuring timely updates to users.

Overhauled a legacy program written on a proprietary platform built in Java, using Python. The program is used to calculate market risk for India Entity of Goldman Sachs.Tabular data is operated upon using Pandas, with a visualization of operations using Tensorboard. Unit tests for each operation, as well as end-to-end tests were written in Pytest.Optimized the program by 90%

Supervised a team of 20 students while working on multiple team projects such as CANSAT 2022, autonomous stair climber and RL-based wheel inverted pendulum bot.

Researched different techniques to detect credit card fraud using machine learning and metaheuristicoptimization techniques