Summary
Duc Do is a Staff AI Engineer with 11 years of experience building production-grade AI and data-driven systems across climate tech, manufacturing, and energy domains. He has led AI teams and roadmaps, architected LLM-based agentic systems and semantic search for domain-specific tasks, and operationalized ML services that translate complex standards (e.g., GHGP) into actionable pipelines. His work at Persefoni produced a RAG-powered Copilot and multilingual emission-factor mapping that automated labor-intensive carbon accounting tasks, while earlier roles delivered forecasting libraries, constrained-optimization advisors, and predictive maintenance models. Comfortable moving research into production, he combines PhD-level computational biology rigor with hands-on MLOps, ETL, and backend engineering. Based in the United States, he excels at bridging product, data science, and engineering to reduce cycle times and turn domain expertise into scalable software. A less obvious strength: he repeatedly designs AI features that not only predict or classify but also automate expert workflows, saving users hours of manual effort.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Applied Maths & Physics, Bachelor's Degree Applied Maths & Physics at Carroll University
Doctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at Marquette University
English, Vietnamese