Daniel Gui is a Senior Software Engineer with six years of experience building production systems and applied AI, currently based in Burlingame and working at Meta. He blends a rigorous academic background—Summa Cum Laude in Mathematics from Vanderbilt and an MS in Computer Science from Duke—with hands-on experience in RAG and generative AI acquired during his software engineering roles and internships. A repeat Meta hire who progressed from intern to senior engineer, he has a track record of shipping ML-driven features in large-scale environments. Daniel also has a history of teaching assistant roles, signaling strong communication and mentoring skills alongside technical delivery. His early finance-facing internships at S&P Dow Jones Indices add practical exposure to index production and data-sensitive workflows. Comfortable at the intersection of theory and production, he brings both mathematical depth and system-level engineering to AI-infused products.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Duke University
Bachelor's degree, Mathematics, Summa Cum Laude, Bachelor's degree, Mathematics, Summa Cum Laude at Vanderbilt University
Odinson is a powerful and highly optimized open-source framework for rule-based information extraction. Odinson couples a simple, yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates in near real time.
Contributions:14 pushes, 1 branch in 6 months
runtime-systemextractionruleruntimenear-real-time
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