Summary
Nazariy Perepichka is an AI/ML consultant and engineer with eight years’ experience designing and shipping production-grade NLP and recommender systems across startups and Fortune 500 companies. He has led end-to-end ML efforts—from building real-time recommendation engines and hybrid models that boosted key metrics by up to 250% to replacing third‑party resume-parsing with in-house LLM pipelines and MLOps at scale. Comfortable as both a hands-on architect and a team leader, he has established cloud architectures, CI/CD and evaluation methodologies, and managed remote engineering teams. He also teaches a Master’s course on Recommender Systems, reflecting a strong mix of applied research and pedagogy based in Kyiv. Less obvious: he repeatedly moves projects from PoC to robust production (and cost-effective GCP deployments), making him adept at turning experimental models into reliable business services.
8 years of coding experience