Open to Robotics & Autonomous Systems rolesM.S. Computer Science · CSUF · 2026
Building robots that perceive, navigate, and recover.
Focus:Robotics Systems Engineer
Robotics & Autonomous Systems Engineer with 3+ years of experience across autonomous vehicles at Caterpillar and industrial robotics at Tata Motors. I build ROS 2 and C++17 systems for sensor fusion, SLAM, perception, and navigation, backed by simulation, calibration, and robotics validation.
I develop autonomous off-highway vehicle systems at Caterpillar, building on industrial robotics and automation experience at Tata Motors. My completed M.S. in Computer Science and projects in robot fault recovery and visual inspection support that work with simulation, systems debugging, and AI/ML.
Caterpillar
Robotics System Engineer
Aug 2025 – Present · USA
Develop a ROS 2 Humble autonomy stack for Cat 777 quarry trucks. Build C++17 UKF sensor fusion, integrate RTAB-Map and Cartographer SLAM, and connect YOLOv8 perception to Nav2 costmaps for navigation and collision avoidance. Validate in CARLA, Gazebo Ignition, and MuJoCo with Docker-based regression testing and sensor calibration.
ROS 2C++17Sensor FusionSLAM / Nav2
Tata Motors
Robotics Engineer
Jun 2022 – Jun 2024 · India
Commissioned ABB, FANUC, and KUKA assembly and material-handling stations with Siemens S7-1500 PLC control and Profinet communication. Integrated Cognex vision, Python/OpenCV validation, and OPC-UA/Grafana monitoring. Reduced cycle time by 12%, improved defect detection accuracy by 10%, and reduced unplanned stoppages by 8%.
Autonomous Mobile Robot Digital Twin & Fault Recovery
Featured
Debugged unexpected robot stops in an Isaac Sim simulation using robot-state, coordinate, LiDAR, and orientation telemetry. Traced false obstacle detections to robot tilt, then developed monitoring and recovery behavior to keep the autonomous workflow running.
63-minute simulation · 10×10 order workload · 0 failures
NVIDIA Isaac SimROS 2PythonReinforcement LearningLiDARTelemetry
Real-Time PCB Defect Detection for Embedded Visual Inspection
Featured
Benchmarked YOLO11s/m/l and RT-DETR-L for six-class PCB inspection, with YOLO11l at 1280px delivering the reported results. Live Hugging Face demo with annotated detections, pass/review verdicts, and JSON/CSV export; ONNX export with a documented Jetson/TensorRT path. Accepted ESCS’26 / CSCE’26 Springer paper.
Production-style transaction fraud scoring on the IEEE-CIS dataset: XGBoost inference, cost-based thresholding, Tree SHAP explainability, Evidently drift monitoring, FastAPI service, and a Streamlit workbench.
TensorFlow/Keras autoencoder pipeline for industrial fan audio anomaly detection using Librosa log-mel spectrogram features and reproducible evaluation workflows.
Deep-learning image classifier using Inception-ResNet-V2 across 120+ dog breeds with 90%+ accuracy, GPU-accelerated training, and OpenCV preprocessing on 10,000+ images.
Student-facing academic advising platform with a responsive React interface, Firebase-backed real-time data integration, and usability-focused workflows.
Flask image-classification service with batch uploads, confidence scoring, health and metrics endpoints, image-hash caching, retry handling, pytest, and CI.