Hi there! I'm Aaditya.
I'm a Computer Science student at Delhi Technological University, currently leading Computer Vision and GUI Deployment at UAS-DTU. My work bridges advanced deep learning, computer vision, and full-stack engineering—both in research and real-world UAV applications.
I've built and optimized computer vision pipelines for projects ranging from semantic segmentation to remote physiological monitoring, deploying robust solutions on embedded hardware and cloud infrastructure. As part of the UAS-DTU software team, I helped secure a 2nd place prize in the DARPA Triage Challenge and have led teams to wins at Smart India Hackathon and ICUAS 2024.
My stack includes Python, C++, React, Flask, PyTorch, ROS, Docker, and OpenCV, and I'm passionate about architecting scalable, high-impact systems—whether for real-time drone navigation, medical diagnostics, or robotics.
I thrive on collaboration, open source, and tackling complex technical problems with simple, elegant solutions. When I'm not coding, you'll find me exploring new AI models, mentoring devs, or optimizing a fleet of drones.