I build end-to-end edge AI systems, spanning scalable architecture design, framework solutions, model optimization, deployment, and customer delivery. My main focus is turning AI ideas into production-ready systems that run efficiently on target hardware and solve real-world problems.

• Edge AI and efficient inference
• Scalable ML systems
• Framework and tooling design
• Model training and optimization
• Deployment on specialized hardware
• End-to-end ownership from architecture to delivery

I enjoy taking ownership of the full path from idea to deployed system: shaping architecture, building the right abstractions, optimizing models, and making sure the final solution is usable in practice.

I prefer simple, scalable, and production-focused systems. The goal is not just to build models, but to deliver solutions that work in the real world.