Summary
Alexandre Evfimievski is a senior machine learning engineer with 14+ years of experience combining research-grade AI with production systems, now at Adobe after a long tenure at IBM Research. He holds a PhD in Computer Science from Cornell and a mathematics degree from Moscow State, and has translated deep theoretical expertise into practical wins—over 20 papers, 10+ patent filings (7 granted), and multiple IBM Research awards. His hands-on work spans conversational AI, AutoML, document understanding (notably PDF table extraction and contract element classification), and scalable ML optimizations in Apache SystemML. He led human-in-the-loop pipelines for content-grounded LLM training and developed a claim-evidence filter that reached 95% precision on FLAN models, underscoring his emphasis on faithfulness and explainability in generative systems. Alexandre favors simple, data-driven solutions that scale incrementally and mentors others to multiply impact, while exploring multimodal LLMs to integrate tables, charts, and images for more truthful, evidence-grounded responses.
14 years of coding experience
Bachelor+ (5-year) degree, Mathematics, Bachelor+ (5-year) degree, Mathematics at Moscow State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Cornell University