Jakub Wasikowski is a Senior Machine Learning Engineer with 12 years of experience building production ML and deep learning systems across NLP, computer vision, and information retrieval, now based in Warsaw. He has led end-to-end projects from data pipelines to deployed models—improving a legal semantic search MRR by 119% and advancing ML-based medical coding with LLM-driven prompt optimization and RAG at Fathom. Jakub combines hands-on model engineering (fine-tuning LLMs, Mask R-CNN, Siamese networks) with data engineering skills (Airflow, BigQuery, Spark) and practical MLOps experience on GCP/Azure. He’s contributed to open-source tooling for web metadata extraction, adding node-level outputs and robust tests, reflecting a quality-first approach to reusable software. Comfortable mentoring teams and running client engagements, he pairs research-led experimentation with measurable product impact.
12 years of coding experience
11 years of employment as a software developer
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Poznan University of Technology
Back-end Developer & QA Engineer / Test Automation Engineer
Contributions:1 review, 54 commits, 8 PRs in 2 years 3 months
Contributions summary:Jakub primarily contributed to the `extruct` library by adding and modifying features related to metadata extraction from HTML. They added an option to return the HTML node alongside extracted metadata, and wrote test cases to verify this functionality, ensuring the correct behavior of the library. Furthermore, the user fixed tests related to microformats and improved the overall quality and reliability of the project by addressing test-related issues.
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Jakub Wasikowski - Senior Machine Learning Engineer at Fathom