United Kingdom
I have a great passion for AI and autonomous systems, with industry experience developing custom solutions using computer vision, deep learning and reinforcement learning in multiple domains.
· Assisted my father in his business in international steel trading.
• Developed computer vision algorithms and AI models for advanced image/video processing and analytics applications. • Involved in R&D work in Reinforcement Learning and Quantum Computing for autonomous systems and computer vision, respectively. • Delivered a project on automating workloads within the auto-expertise sector by developing custom AI models to detect visual damages to cars and report probable repair expenses. • Primary data scientist within the video analytics product development team. Worked to create a real-time, multi-camera, multi-scenario architecture on embedded devices such as the Nvidia Jetson. Also worked closely with the municipality of a large metropolis to integrate this system to their camera network and developed scenarios such as social distance measurement, together with a novel data-driven camera auto-calibration method for distance. • Involved in projects with the Health Ministry on diagnosing diseases from CT scans using vision-based AI. • Coordinated the team’s adoption of Microsoft Azure data & analytics services and architectures for use in analytics projects and wrote documentation for various services.
ExoMars Rover Project: • Part of the GNC team developing algorithms to autonomously drive a rover across the Martian surface. • Responsible for integrating evolving GNC algorithms into the prototype rover’s software using C/C++ by modifying core software components, identifying and resolving bugs, designing test harnesses and other software components for testing both hardware and software. • Had a key role in implementation and first time testing of “start of mission” mechanical deployment algorithms on the full-size prototype rover. Autonomous Scout Rover for Nuclear Decommissioning Project (ASRND) : • Part of a 3-person team working on R&D to build an autonomous rover for use in hazardous environments. • Responsible for designing a model and simulating LIDAR for computer vision using C++ and integrating it into the software for SLAM. Optimisation, debugging, collecting and processing results using MATLAB and producing written reports.