I'm from Chennai, India, and these days I live in Warsaw, Poland. I write software for robots and drones for a living, which works out well because programming and building things is what I'd be doing anyway. Outside of work I fly drones, and I'm licensed to fly in both India and the EU. I play computer games and I'm a big God of War fan. I watch a lot of MMA and boxing.
I love cooking Indian food and trying food from different cultures, which is half the reason I like to travel. I'm curious about investing and economics too, though more about understanding how companies work than actually trading. I speak Tamil and English, a bit of French, and I just started learning Polish. Some days I get bored and just sit around doing nothing, and that's fine too.
I'm a robotics and AI engineer with 5+ years of experience building autonomy and perception systems, in the air and on the ground. Most of my work comes down to helping drones and robots understand what's around them and decide what to do next.
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 BehaviorTree.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.
