I am a Computer Science & Engineering student at PES University, deeply passionate about bridging the gap between intelligent software and physical systems. My work spans Robotics & Computer Vision, Artificial Intelligence (Machine Learning & GenAI), and modern Full-Stack Web Development.
Whether I'm developing reinforcement learning models for robotic surgery, designing adaptive tutoring systems using Explainable AI, or building high-performance TypeScript applications, I love turning complex logic into smooth, working solutions.
- 🎓 Education: Pursuing B.Tech in Computer Science & Engineering at PES University (EC Campus).
- 🤖 Current Obsession: Reinforcement learning for robotic motion planning and autonomous drone mapping.
- ⚙️ Learning Journey: Currently diving deep into Rust, mastering the MEAN Stack, and exploring advanced Machine Learning algorithms.
- 🤝 Collaboration: I'm always looking to collaborate on impactful Open Source projects, robotics workspaces, or innovative web applications.
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Reinforcement Learning and Deep Learning from Demonstration (LfD) for highly precise autonomous robotic suturing. Integrates advanced computer vision algorithms and kinematics tracking for surgical robotics simulation. Python • PyTorch • Robotics |
An intelligent and personalized adaptive tutoring system built with Explainable AI (XAI) modules. Provides crystal-clear insights into tutoring decisions and customized, dynamic learning pathways. Python • Machine Learning • Explainable AI |
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A beautiful full-stack platform focused on digital preservation and immersive documentation of heritage and living cultural traditions. TypeScript • React • Node.js |
Robust development workspaces targeting autonomous drone navigation, real-world 3D mapping, obstacle avoidance, and ROS2-integrated TurtleBot3 simulation environments. C++ • Python • ROS2 • Gazebo |
"Building the future of robotics and intelligent systems, one line of code at a time."