Robotics & Autonomous Systems Engineer
Autonomous vehicles · Industrial robotics · Embedded systems · Edge AI
About · Experience · Projects · Toolbox · Open source
I build robotics systems that connect perception, localization, and navigation with real hardware. My work spans C++17 and Python, ROS 2 autonomy, multi-sensor fusion, industrial automation, and simulation-based validation—with an emphasis on debugging, fault recovery, and reliable operation.
Based in California, USA · M.S. Computer Science, CSU Fullerton · Graduated August 2026, GPA 3.8/4.0.
Caterpillar, USA — Robotics System Engineer · Aug 2025 – Present
- ROS 2 autonomy for Cat 777 quarry trucks: C++17 sensor fusion, LiDAR/radar/camera integration, SLAM, and Nav2 navigation.
- Perception, sensor calibration, digital twins, and Docker-based regression testing across autonomous driving scenarios.
Tata Motors, India — Robotics Engineer · Jun 2022 – Jun 2024
- ABB, FANUC, and KUKA robot integration with Siemens PLCs, Profinet, and vision inspection; reduced cycle time by 12%.
- Commissioning, fault recovery, and Python/OPC-UA production monitoring; reduced unplanned stoppages by 8%.
Investigated unexpected robot stops using LiDAR, robot-state, and orientation telemetry. Traced false obstacle detections to robot tilt and added monitoring and automated recovery.
~63 minutes unattended · Zero failures
NVIDIA Isaac Sim ROS 2 Python Reinforcement Learning LiDAR
Benchmarked YOLO11 and RT-DETR for six-class PCB inspection, with ONNX export and a documented Jetson/TensorRT deployment path. The live app provides annotated detections, per-class counts, and JSON/CSV export.
98.3% precision · 98.8% recall · 0.99 mAP50
Repository · Live demo · Accepted publication at ESCS’26 / CSCE’26
More projects — fraud detection & healthcare agents
- Real-Time Fraud & Transaction Risk Pipeline: XGBoost scoring, SHAP explainability, drift monitoring, FastAPI, and Streamlit.
- Healthcare Agent System: Multi-agent decision support with retrieval, risk modeling, and explainability.
| Focus | Tools & technologies |
|---|---|
| Robotics & autonomy | ROS 2, Nav2, MoveIt2, ros2_control, SLAM, EKF/UKF sensor fusion |
| Perception & edge AI | OpenCV, PCL, CUDA, TensorRT, ONNX, NVIDIA Jetson |
| Sensors & systems | LiDAR, radar, cameras, IMU, GNSS, Linux, CAN, I2C, SPI |
| Industrial automation | Siemens PLCs, ABB/FANUC/KUKA, Profinet, OPC-UA, HMI/SCADA |
| Simulation & validation | Isaac Sim, Gazebo, CARLA, MuJoCo, Docker, Git/GitHub, CI/CD |
Also: PyTorch, TensorFlow, MATLAB, Bash.
Selected merged contributions:
- skorch #1141 — automatic device selection.
- falsify-inspect — CLI fixes, MMLU-Pro example, and documentation.
- Licinexus MCP #24 — date-formatting test coverage.
Contribution activity
