Teaching Assistant for Introduction to Artificial Intelligence, supporting coursework on search and problem solving, knowledge representation and reasoning, uncertainty, and machine learning through grading and student support.

Teaching Assistant for Formal Systems and Logic in Computing Science, assisting with instruction in logic, set theory, induction, and program correctness, while grading assignments and supporting students through tutorials and doubt-clearing sessions.

During this role, I worked with Hesai LiDAR, IMUs, and cameras to develop a unified multi-sensor application for synchronized data streaming and recording. Led the creation of a Python-based Open3D simulation framework to model A-pillar visibility risks, automating over 5,000 parallel simulations and reducing runtime by more than 10 days. Applied 3D math fundamentals (coordinate transforms, ray tracing, rotation matrices) for accurate scene modeling, optimized LiDAR semantic segmentation for roadway feature classification, and contributed to a peer-reviewed conference publication through cross-disciplinary collaboration.

Shadowed VP Product & AI, Roberto Moreno, gaining practical insights into daily software development operations, understanding diverse programming languages' applications, and learning effective communication and project management strategies in professional development environments.