Vu Ha is a technical director and seasoned AI engineer with 11+ years building and advising early-stage startups and research-driven products from the Greater Seattle Area. He co-founded and served as lead architect of Semantic Scholar, pioneering large-scale machine reading, citation graph analysis, and relevance ranking across tens of millions of papers. Before that he led core research and engineering at AI2 and Microsoft, delivering production-scale NLP, knowledge-graph, and low-latency concept-mapping systems that improved search recall and audience targeting. Today he advises founders at AI2 Incubator, helping teams decide what to build and rapidly turn AI research into product-market fit. His background spans formal verification, deep learning on petabyte click graphs, and distributed indexing—an uncommon blend of rigorous verification, academic-grade NLP, and practical production engineering. He also maintains ties to the research community as Semantic Scholar’s first engineer and an advocate for thoughtful, transparent data practices.
11 years of coding experience
6 years of employment as a software developer
Ph.D. Computer Science Artificial Intelligence, Ph.D. Computer Science Artificial Intelligence at University of Wisconsin-Milwaukee
M.S. Computer Science, M.S. Computer Science at Eötvös Loránd University
B.S. Computer Science, B.S. Computer Science at Debreceni Egyetem
With alexafsm, developers can model dialog agents with first-class concepts such as states, attributes, transition, and actions. alexafsm also provides visualization and other tools to help understand, test, debug, and maintain complex FSM conversations.
Contributions:57 commits, 2 PRs, 3 pushes in 2 years 8 months
dialogfsmagentsconversationstransition
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