I'm an AI Engineer working at the intersection of robotics and machine learning, with a background in Robotics Engineering and a focus on autonomous systems — perception, planning, and control on real hardware.
Most of my work is about getting deep learning models out of the notebook and onto devices that actually run: self-driving platforms, mobile robots, and embedded vision systems. I care about the problems where an algorithm has to hold up under real constraints — latency, compute budget, and reliability.
- 🚗 Now building — perception for autonomous vehicles, deep learning on edge devices
- 🔬 Interested in — agentic AI, generative models, world models, graph neural networks, sensor fusion, planning under uncertainty
- 🤝 Open to — collaboration on serious robotics / AI projects
| Area | What I work on |
|---|---|
| 🤖 Autonomous Systems | End-to-end perception → planning → control on real robots and vehicles |
| 🕹️ Agentic AI | LLM-driven agents that plan, use tools, and act over long horizons |
| 🎨 Generative AI | Diffusion and transformer models for synthesis and data generation |
| 🌍 World Models | Learned environment dynamics for prediction and model-based control |
| 👁️ Computer Vision | Detection, segmentation, and depth estimation for navigation |
| 🧠 Deep Learning | CNNs, GNNs, and sequence models — trained and deployed on the edge |
| 🎯 Path Planning | Optimization-based navigation under real-world constraints |





