Summary
Truc-viet Le is an AI Quant Strat with 11 years of experience building production-grade ML and AI systems across finance, e-commerce, and enterprise software, and holds a PhD in Information Systems. He designs and deploys LLM-based RAG systems, fine-tunes open-source models with LoRA, and develops AI agents and graph analytics to automate credit memo generation, AML investigations, and document processing at scale. His work has delivered measurable operational impact—cutting periodic review effort by 67%, saving users ~20 minutes/week with an internal knowledge search, and reducing AML false alerts by over 70%. He combines deep research credentials (publications and patents) with hands-on engineering across Spark, Neo4j, AWS/GCP deployments, and explainable ML techniques. Colleagues rely on him to bridge compliance, product and engineering teams to drive AI adoption and practical risk-aware solutions. Outside work he’s a curious traveler with a light-hearted GitHub presence—“Mostly harmless”—reflecting a pragmatic, approachable style.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Information Systems, Doctor of Philosophy (PhD), Information Systems at Singapore Management University
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Carnegie Mellon University
Master of Science (M.Sc.), Mathematical Sciences, Master of Science (M.Sc.), Mathematical Sciences at Nanyang Technological University Singapore
French, English, Vietnamese