I work at the intersection of AI and software engineering, bridging the gap between cutting-edge AI capabilities and practical implementations. My background in industrial engineering combined with hands-on experience in ML and software development gives me a unique perspective on building systems that actually work.
- Designing scalable AI architectures that solve real problems
- Building multi-agent systems with advanced reasoning capabilities
- Developing retrieval-augmented generation (RAG) solutions
- Creating end-to-end ML pipelines that deliver value
- Large language model orchestration and evaluation
- Vector search and semantic retrieval systems
- Serverless architectures for AI applications
- Observability in complex AI systems
I occasionally write about AI architecture, engineering challenges, and technical insights on LinkedIn.
The AI landscape changes fast - I'm constantly exploring new tools, techniques, and approaches. Current experiments include multi-agent architectures, evaluation frameworks, and hybrid retrieval methods.
