Summary
Adithya Chandrashekar is a Core Perception Algorithm Developer and Honors Computer Science student at Ohio State University with a decade of hands-on experience building AI-driven systems for autonomy and web platforms. He designs and deploys CNN-based perception pipelines for traffic sign detection on real vehicles like the Chevrolet Bolt, combining 2D/3D object detection techniques with robust data augmentation to ensure reliability across lighting and weather conditions. At FlightAware he translated legacy tooling to Python3, implemented asynchronous monitoring, and built a high-accuracy go-around detector (97.5%), demonstrating an ability to move prototypes into production-ready systems. He also contributes open-source tooling—authoring a Lambda metrics visualizer and several full-stack apps focused on performance, security, and geospatial indexing—and has startup experience applying ML to education through Yinsight. A 2024 Millennium Fellow, he blends technical rigor with mission-driven teamwork to apply autonomous and AI technologies toward social impact.
10 years of coding experience
Software Engineering Residency, Software Engineering Residency at Codesmith
Bachelor of Science - BS, Honors Computer Science and Engineering, Bachelor of Science - BS, Honors Computer Science and Engineering at The Ohio State University College of Engineering
Dublin Coffman High School
Bachelor of Science - BS, Honors Computer Science and Engineering, Senior, Bachelor of Science - BS, Honors Computer Science and Engineering, Senior at The Ohio State University
Kannada, Hindi, Telugu, Tamil