Collaborating in a team of 5 on Vision-Language Models for Autonomous Driving Dataset Exploration, working with large-scale autonomous-driving datasets to enhance models that interpret road scenes, identify objects, and comprehend driving context using computer vision and natural language processing techniques, thereby contributing to safer and more reliable self-driving cars.

Designed a TA-student recommendation algorithm using Depth-First Search and backtracking to optimize matches by availability, credits, and rating, improving match accuracy by 35%.

• Engineered a real-time concurrent editing system using Socket.IO, enabling multi-user sticky note collaboration with locking, live updates, and undo/redo control—reducing conflicts by 80%.

• Engineered the EduLink platform using React, Node.js, Express, PostgreSQL, and REST API, implementing token-based authentication for enhanced session management and improving dashboard performance by 40%.

Selected for Google BASTA competitive software engineering fellowship (5% acceptance rate), mastering advanced algorithms and real-time problem-solving techniques through intensive 1:1 mentorship and 10+ mock interviews with a Google engineer.

Selected as a fellow for the 2025 Uber Career Prep cohort, with a less than 4% acceptance rate.

• Actively engaging in workshops focused on enhancing technical knowledge, professional skills, and industry insight.

• Collaborating with industry mentors, gaining insights and guidance tailored to achieving professional milestones and enhancing technical competencies.