Radar Algorithm Engineer
Current• Researched, innovated, and implemented machine learning techniques (image/time-series/feature-based classification, image segmentation, anomaly detection, online learning, reinforcement learning, clustering, etc.) using PyTorch and TensorFlow to develop new capabilities for smart radar surveillance • Participated in several successful project deliveries and communicated project outcomes to stakeholders effectively• Outlined and proposed research directions to fuel technological developments in AI-driven cognitive radar under exploratory projects valued up to 5 million SGD• Developed robust algorithms for real time radar systems using MATLAB and Python, including signal processing for radar map formation, target detection and tracking, applying techniques like compressive sensing, statistical modelling, computer vision, etc.• Mentored undergraduate interns – outlined project scope and supervised intern