Summary
Olena Sokol is a Senior Machine Learning Engineer based in Kyiv with over eight years of experience building production-grade AI systems across finance, retail, and consumer electronics. She combines a deep mathematics background and formal research experience with hands-on expertise in LLMs, computer vision, time-series forecasting, and document OCR—having shipped solutions from invoice extraction and context-aware translation APIs to object detection and code-vulnerability models. At Paysera and Samsung she integrated cutting-edge models and frameworks (Gemini 2.0, LangChain, LiteLLM, EfficientDetV2, YOLO) into scalable REST APIs, and earlier roles honed her strengths in model deployment, feature engineering, and SQL-driven data pipelines. Notably, she pairs generative-model innovation (GPT-family, CodeGen) with practical automation—reducing reporting and processing times and translating research-level techniques into business impact.
8 years of coding experience
7 years of employment as a software developer
Researcher Categories of differential invariants in physics and mechanics, Researcher Categories of differential invariants in physics and mechanics at Institute of Science and Technology Austria
Master's degree Computer Science, Master's degree Computer Science at Taras Shevchenko National University of Kyiv
Ukrainian, English, Finnish