Summary
Oleg Puzyrko is a Data Architect and AI engineer based in California with nine years of focused experience in machine learning, statistics, LLMs and agentic AI, backed by a long career building scalable data systems since the late 1990s. At Conviva he progressed from Data Scientist to Data Architect, designing production data pipelines and analytics that support real-time media intelligence. His background spans full-stack and distributed systems, big data processing (Hadoop/HBase), and applied analytics for SEO, finance and security from roles at OLTI, BlackRock and SunGard. Trained at MIPT and Stanford in applied mathematics, he combines rigorous quantitative foundations with pragmatic engineering—often bridging research-grade models to operational data platforms. A less obvious strength is his history of shipping both low-level algorithmic implementations and end-to-end SaaS products, making him effective at translating complex statistical ideas into reliable, production-ready services.
9 years of coding experience
19 years of employment as a software developer
Master of Science (MS) Summa Cum Laude, Applied Mathematics, Master of Science (MS) Summa Cum Laude, Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
MS, Applied Mathematics, MS, Applied Mathematics at Stanford University