Multi-agent orchestration for autonomous campus services. Developed a cloud-based system to manage and help university students, professors and staff by automating tasks and providing information.

Alongside my third year studies, I joined 2 startup founders to develop algorithms for autonomous satellite perception. Combining LiDAR, monocular/stereo vision and IMU sensor fusion with deep-learning 6DOF pose estimation, 3D Gaussian splatting and traditional SLAM, my work played a key role in securing first commercial contract.

Received a scholarship from the U.K. Space Agency to work on machine learning solutions for autonomous perception and navigation of satellites. My work was later showcased in the 2024 Glasgow Space Exposition.

To support myself during my studies, I worked cold calling alumni to fund student grants, learning how to listen, pitch ideas clearly, and have resilience to rejection.

I became the lead software engineer in a group of Imperial College students who where working in collaboration with the European Space Agency to deploy a solar sail experiment in space. I engineered flight-critical sensor interfaces, space-to-ground communications, and implemented real-time OS scheduling with redundancy testing.