I build software that helps machines sense, think, and move. Robotics and AI are my craft, from autonomy and perception to intelligent agents but at heart I'm a coder and a builder, endlessly curious and always chasing whatever's next in tech.
Robotics & AI engineer with 5+ years building real-time autonomy and perception, in the air and on the ground. By day: ROS 2, PX4 & MAVSDK, SLAM/VIO, Isaac Sim, and ML-based perception. After hours: a hand-built FPV drone, chasing the light.
Built Isaac Sim digital twins of a custom omnidirectional robot, tuned Isaac ROS Visual SLAM with stereo VIO + 2D-LiDAR localization, and shipped a LangChain/LangGraph natural-language control interface (GroundingDINO + SAM). Authored custom PX4 cleaning maneuvers and a BehaviorTrees.CPP mission state machine with lifecycle & diagnostics.
Wrote control software for multicopters and differential-drive rovers (Python · ROS · PX4 · MAVSDK), partnered with hardware teams on custom firmware tuning, and delivered GPS-denied indoor navigation with VIO + depth sensing, validated in Gazebo before field deployment.
ROS diagnostics tooling in C++, real-time PCL point-cloud filtering for LiDAR & depth streams, and intrinsic/extrinsic sensor calibration (RANSAC/ICP). Prototyped perception pipelines: YOLOv7 instance segmentation projected into 3D, and 6D docking-target pose estimation via particle filtering.
Built a preprocessing pipeline for a synthetic-media detection system (OpenCV · TensorFlow) and ran EDA on multimedia datasets to improve data quality and model-iteration efficiency.
Custom 5″ build: ExpressLRS link, Walksnail digital video, hand-tuned ESC/motor/PID. EU A1/A3 certified; cinematic & freestyle.
OpenAI LLMs + LangChain + FAISS over a salon knowledge base, with session-memory compaction for long multi-turn chats.
U-Net speech-denoising model in PyTorch, evaluated with SSNR / PESQ across datasets.
