About
A concise bio and current focus.
Current focus
- Model infrastructure and evaluation systems
- Agentic RAG and engineering knowledge workflows
- Research-to-production ML pipelines
- Quantum machine learning and tensor networks
I am a physics and computer science trained AI/ML engineer interested in building systems that connect research, infrastructure, and real-world workflows. My current focus is on model infrastructure, agentic RAG systems, ML evaluation, and quantum machine learning.
My background gives me a bias toward systems that are both technically grounded and operationally useful: clear assumptions, reproducible experiments, explicit evaluation, and architecture that can survive contact with real workflows.
Outside engineering and research, I enjoy classical music, science fiction, philosophy, and writing.