Machine Learning & AI Engineer with deep expertise in Python and a strong foundation in statistics and ML algorithms. I design, build, deploy, and monitor complex ML/AI systems at scale, and lead the teams behind them.
My interests span computer vision, self-supervised representation learning, language models, MLOps, and ML system design. I've worn many hats across a consultancy boutique, an AI startup, a software house, and a large enterprise.
Experience
Leading a team of 6 ML engineers. Owning full AI stack: software engineering, data platforms, MLOps, and ML modelling. Building computer vision & LLM-based systems for vehicle damage detection and a domain-specific foundation model.
Photo-based apparel authenticity verification, cancer cell segmentation and tracking, self-supervised contrastive X-ray classification, technical due diligence for VC investors.
WiFi-based indoor positioning and store traffic prediction. Full-stack ML product ownership at a fast-paced startup.
Demand forecasting, media-mix optimisation, promotion effectiveness analysis, hierarchical Bayesian modelling.
Academic Education
Advanced statistics, econometrics, and machine learning. Top 10 program in Europe. Thesis: Empirical-Bayes forecasting with micro-panels. R package available on CRAN.
Econometrics and decision modelling. Ranked #1 econometrics program in Poland.
Continuous Learning
- Algorithms Stanford Online 2026
- Generative AI with LLMs DeepLearning.AI 2023
- MLOps Specialization DeepLearning.AI 2022
- GANs Specialization DeepLearning.AI 2022
- Deep Learning Specialization DeepLearning.AI 2019
Languages
Polish native
English C2
German C2
Spanish B1
Beyond Work
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