Building real-world AI systems that see, decide, and act beyond simulations.

I work at the intersection of Artificial Intelligence, Computer Vision, and Autonomous Systems, focusing on building mission-critical, real-world AI systems rather than demo-level prototypes.

My work spans autonomous UAV perception & control, AI-powered logistics and optimization, and verification systems for defense and environmental applications.

• Autonomous UAV systems using PX4 & MAVSDK
• Real-time YOLO-based object detection & tracking
• Mission planning, route optimization & decision support
• Simulation-to-real workflows (SITL / Gazebo)
• AI verification pipelines (Blue Carbon & Defense-Tech)

• 🚁 Built autonomous UAV perception & navigation pipelines
• 🌱 Developed AI-based Blue Carbon MRV & Trust Scoring system
• 🛡️ Designed modular AI-powered defense logistics platform
• ⚡ Multiple national-level hackathons & applied AI projects

Tech: PX4 · MAVSDK · YOLO · Python
End-to-end autonomous flight system integrating real-time vision, navigation, and control logic.

Tech: YOLOv8 · Computer Vision · Blockchain
Mangrove detection (aerial + ground), duplication prevention, and Trust Score generation for carbon credits.

Tech: AI Optimization · MERN · System Design
Mission planning, convoy coordination, monitoring, and decision support.

AI & Vision: YOLOv8, OpenCV, Object Detection & Tracking
UAV & Robotics: PX4, MAVSDK, SITL/Gazebo
Software: Python, C++, JavaScript, React, Tailwind CSS
Tools: Git, Linux, Docker, Simulation Pipelines

• 💼 LinkedIn: https://linkedin.com/in/YOUR-LINK
• 📧 Email: udbhawinsta@gmail.com

“Building AI systems that work when failure is not an option.”