Building intelligent autonomous systems using AI, ROS2, Computer Vision, and Embedded Systems.
- 🎓 Robotics Engineer
- 🧪 Exploring AI, Reinforcement Learning, Humanoid Robotics & Vision-Language-Action Models
- ⚡ Passionate about bridging research and deployment in robotics
- 🌍 Goal: Intelligent systems that understand, adapt, and assist humanity
| Project | Description | Stack |
|---|---|---|
| 🚚 Milo X1 | Autonomous outdoor delivery robot | ROS2 · LiDAR · Jetson Nano |
| 🏠 Nexa Gen2 (MAID) | Indoor smart-environment delivery robot | ROS2 · Nav2 · AI Navigation |
| 🌊 Aqua Bot | AI-powered water surface cleaning & environmental monitoring | Computer Vision · Embedded |
| 🐕 Quadruped Robot | Legged robot with cycloidal actuators & RL locomotion | MuJoCo · Gymnasium · RL |
| 🚗 Prakveu | AI-powered automatic parking system | OpenCV · IoT |
| ☁️ Fleet Manager | Cloud monitoring & comms platform for robot fleets | Cloud · ROS2 Bridge |
Languages
Robotics & Simulation
AI / Machine Learning
Embedded & Hardware
CAD & Design
- Reinforcement Learning for Robotics
- Quadruped Locomotion & Legged Locomotion
- Humanoid Robotics
- Vision-Language-Action (VLA) Models
- Robotics Foundation Models
- AI for Autonomous Navigation
- Human-Robot Interaction
- 🥈 National-Level Runner-Up — Prakveu
- 🏅 Best Team Award — Innovatethon
- 📄 Research Paper presented on Autonomous Delivery Robots
- ⚡ Robotics Internship at IIT Madras
- 🌍 Nexomation nominated for Founders 2.0 Entrepreneurial Excellence Award
- 🎬 First Prize — Tamil Nadu Forest Department Short Film
"Building robots is not just about automation — it is about creating intelligent systems that can understand, adapt, and assist humanity in solving real-world challenges."
⭐ Transforming Tomorrow Through Robotics & AI ⭐