I build systems that bridge the gap between AI research and production infrastructure. My work focuses on deploying machine learning at scale, architecting distributed hardware networks, and creating data pipelines that handle millions of events per second.
Previously contributed to Parity Technologies (Polkadot/Substrate), Solana, and Edge Group Abu Dhabi. Built industrial data platforms processing sensor data from manufacturing floors across multiple continents.
I believe the future of AI isn't just in the cloud—it's at the edge, embedded in the physical world.
- Distributed AI inference clusters — Running LLMs across heterogeneous hardware
- Edge ML pipelines — Real-time model deployment on IoT devices
- Industrial automation systems — Connecting AI to physical infrastructure
I'm always interested in connecting with others working on:
- Distributed AI/ML inference systems
- Edge computing and IoT platforms
- High-performance data pipelines
- Blockchain infrastructure
Feel free to reach out or explore my repositories.


