Michał Sznajder is a Lead Data Scientist specializing in GenAI with 12+ years of experience building and deploying ML and deep learning products at petabyte scale. He combines academic rigor—published in Nature and Springer and holding multiple patents—with hands-on expertise in LLMs, RAG, PEFT, and cloud-scale MLOps on GCP (Vertex AI, BigQuery). His career spans startups and enterprise innovation (Estimote, Collective Sense, Sabre) where he translated research into customer-facing systems for travel, security, and location analytics. Known for end-to-end ownership, he balances scientific curiosity (PhD coursework in Cognitive Science) with product-focused delivery and cross-team leadership. He often tackles open-ended problems, blending advanced NLP techniques (Llama 3, Mistral, Transformers) with engineering pragmatism to drive business impact.
12 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science and Econometrics, Bachelor's degree Computer Science and Econometrics at Higher School of Management and Social Sciences
Ph.D. candidate (sabbatical) Cognitive Science, Ph.D. candidate (sabbatical) Cognitive Science at Jagiellonian University
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