Hi there! I'm Aaditya.
I'm a Computer Science and Engineering student at Delhi Technological University, currently leading Computer Vision and GUI Deployment at UAS-DTU. I work at the intersection of advanced deep learning, robotics, and full-stack engineering building impactful autonomous systems for UAVs used in real-world disaster response.
Over the past two years, I have helped drive our team to secure 2nd place and $150,000 in the DARPA Triage Challenge – Systems Competition Phase II our second consecutive podium after Phase I. I’ve developed real-time perception pipelines and deployed autonomous triage software in high-stress, GPS-denied environments at Guardian Centers, USA.
I’ve also contributed to multiple award-winning projects at Smart India Hackathon where I led team Falken to win in the Drones and Robotics category and at the International Conference on Unmanned Aircraft Systems (ICUAS 2024), where our solutions focused on multi-agent coordination, embedded inference, and secure communication architectures winning 2nd place.
My engineering toolkit includes Python, C++, React, Flask, PyTorch, ROS, Docker, OpenCV, and embedded Linux. I love building scalable control and perception systems — from high-speed autonomy to medical AI that translates cutting-edge research into real-world field performance.
Outside technical work, I enjoy mentoring developers, exploring the newest vision-language models, and tuning a fleet of drones to chase millisecond latency.