Jędrzej Hasiura
Applied Scientist at TomTom
Lodz Metropolitan Area Poland
Summary
👤
Senior🎓
Top SchoolJędrzej Hasiura is an applied scientist and software engineer with nine years of experience building production-scale map-making systems and ML prototypes at TomTom. He blends deep learning research (PyTorch, Horovod) with large-scale data engineering (Spark, Flink, Kubernetes) to deliver automated HD map production, lane feature extraction, and scalable ingestion pipelines. He has a track record of end-to-end delivery—from designing model training and hyperparameter search pipelines to deploying OpenAI-integrated rule generation and Kubernetes-hosted services. Notably, he single-handedly built a ChatGPT-driven rule generator that produced correct map-quality rules and influenced stakeholder workflows. Based in Łódź, Poland, he pairs a growth mindset and rapid prototyping focus with practical optimization experience on both on-prem GPU clusters and cloud platforms.
9 years of coding experience
4 years of employment as a software developer
Master's degree Information Technology, Master's degree Information Technology at Lodz University of Technology
English, Polish, Spanish, German
Github Skills (26)
mlops-workflow6
machine-learning6
python6
feature-store6
data-quality6
pytorch4
data-science4
pytorch-lightning4
big-data4
deep-learning4
tabular4
mlops3
ai3
data-engineering3
ml2
Programming languages (3)
Github contributions (5)
Hyphen133/Messanger
Nov 2020 - Jan 2021
Contributions:3 PRs, 49 pushes, 6 branches in 1 month
Hyphen133/Knn-Text-Classification
Mar 2019 - Apr 2019
Contributions:44 pushes, 1 branch in 28 days
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