Python Developer & Machine Learning Engineer specializing in robotics software development, computer vision, and AI applications across multiple industries.
MS graduate from Worcester Polytechnic Institute with hands-on experience spanning medical robotics, autonomous systems, and educational technology. I thrive in cross-disciplinary environments where Python and machine learning meet real-world robotics challenges.
- Languages: Python, C++, C#, MATLAB, Bash, SQL
- ML/AI: PyTorch, TensorFlow, Supervised/Unsupervised Learning, Reinforcement Learning, NLP
- Robotics: ROS1/ROS2, Nav2, PCL, Gazebo
- Vision: OpenCV, Object Detection, Segmentation, Depth Estimation, 3D Reconstruction
- Cloud: AWS (Lambda, S3, Boto3), Google Cloud Platform (GCP), Vertex AI
- MLOps: Docker, TensorRT, Edge Computing, CI/CD pipelines
- Hardware: NVIDIA Jetson Nano, UR5e, KUKA KR6R700-2, Intel RealSense, Kinect
- Medical Robotics: Engineered Python-based collision detection systems for UR5e surgical robots at IIT Madras
- Autonomous Systems: Developed unit testing infrastructure for delivery robots with Nav2 and Docker at Void Robotics
- Educational Technology: Created SLAM-inspired AR navigation systems for child safety applications
- 3D Perception: Implemented feature detection pipelines comparing seven RGB-D descriptors using PCL
- Edge Computing: Deployed Docker containers on NVIDIA Jetson Nano systems with CI/CD pipelines
- Tesla-like Full Self-Driving Visualization: End-to-end ML pipeline with ensemble models (MaskRCNN, YOLOv5) and Intel MiDaS transformer
- Pallet Detection System: Custom YOLOv11 pipeline achieving 0.59 mAP@50 for detection and 0.95 max IoU for segmentation
- LandMarks Educational AR App: Unity C# application with automated path generation and visual markers for map-based navigation
- Sentiment Analysis Framework: Comprehensive evaluation comparing 5+ models with Flask dashboard for real-time prediction
- Reinforcement Learning Motion Planner: DDPG and SAC algorithms for TurtleBot3 navigation in Gazebo simulation
🏥 Medical Robotics - Healthcare Technology Innovation Center (IIT Madras)
🚛 Autonomous Systems - Void Robotics delivery solutions
🎓 Educational Technology - Child safety and AR navigation applications
🔬 Research & Development - Robotic grasping and active vision systems
Passionate about advancing robotics and AI technology that solves meaningful problems through innovative Python solutions and machine learning applications.