- Leading a team of 9 in developing algorithms to control a swarm of small robots, modeling polymer growth- Designing a simulation in Python to enable rapid prototyping and development of robot behavior

- Currently researching Kalman filter algorithms to identify potential improvements in armor plate tracking

• Spearheaded full-stack refund functionality for ∼27 million users, collaborating with the product team and company leadership.• Developed an automated OpenAPI documentation generator, reducing documentation time by 80% and improving stakeholder access to updated information.• Implemented Zod for request validation across 50+ endpoints, enhancing code consistency and scalability while minimizing future risk.

• Directed a team of 60 students, including 15 developers, achieving top 16 placement out of 3474 teams worldwide.• Delivered spline-based path planning and navigation for omnidirectional robots using Java, placing 13th out of 1412 teams in the autonomous navigation challenge.• Employed state machines, PID control, and motion profiling to achieve precise and efficient control of mechanisms, attaining accuracy of up to 0.02 degrees.• Introduced code review practices and standardized onboarding, improving code quality and team integration.

- Taught data structures and algorithms in C++ and Java to ~20 students during weekly meetings- Lectured on topics including stacks, queues, and time complexity- Gave one-on-one instruction and helped debug student solutions- Organized school and district competitions

• Created a TypeScript-based validator for environment configuration files as a part of the CI/CD pipeline, preventing deployment failures by enabling local error detection.• Launched a soft-deletion system including endpoints for 14 records, filtering from search indexes, and Jest unit tests.• Streamlined data between new and legacy platforms, ensuring consistency and integrity across company infrastructure