Summary
Artem Shramko is a Lead Machine Learning Engineer with 11 years of experience, currently driving ML strategy at Klarna where he architects and fine-tunes generative LLMs for AI-powered search, personalized ranking, and large-scale product recommendations for 100M+ users. He combines deep hands-on expertise in PyTorch, transformers, vector databases and hybrid search with systems design for production ML—shipping Agentic RAG, personalized ranking pipelines, and internal feedback tooling. Previously he boosted hierarchical text classification performance 3x with a custom transformer and led full-stack ML deployments spanning FastAPI/React and cloud platforms like SageMaker, Databricks and Azure. Trained in economics, statistics and software engineering in Berlin, Artem blends quantitative rigor with pragmatic engineering to bridge research and production at fintech scale. An understated strength is his experience optimizing models for edge scenarios and high-throughput e-commerce catalogs, making him adept at squeezing real-world performance from large language models.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Mathematics and Software Engineering, Bachelor of Science - BS Mathematics and Software Engineering at FernUniversität in Hagen
Master of Science (M.Sc.) Economics and Statistics, Master of Science (M.Sc.) Economics and Statistics at Humboldt-Universität zu Berlin
Courses in Machine Learning and Econometrics, Courses in Machine Learning and Econometrics at Technische Universität Berlin
Douglas High School, SD, USA
English, German, Ukrainian, Spanish