Built a learning pipeline for robotic tree-pruning and dexterous apple-picking. Applied Deep RL (PPO) for a UR5 manipulator using Stable Baseline 3 and SKRL. Developed a novel hybrid RL method incorporating suboptimal expert data. Built a procedural tree generation tool for sim-to-real gap bridging.

Building the future of Agricultural Robots. Deformable object simulation in Isaac Sim. Image auto-labelling using SAM2 and YOLO.

Engineer in 5G NR MAC team. Wrote Unit Tests and Block Tests according to Google Test framework, increasing test coverage. Awarded Software Professional Certification for DSA skills.

Adapted state-of-the-art models of Image Inpainting in PyTorch to Dynamic to Static LiDAR Reconstruction. Proposed “LiDAR Quality Index” metric.

Led the Robotics Grad Student Association.