Jan Gamec
Lead Software Engineer at H2O.ai
Prague, Prague, Czechia
Summary
🤩
Rockstar🎓
Top SchoolJan Gamec is a Lead Software Engineer with 11 years of experience building and shipping production-grade AI and ML systems, currently leading development of H2O Eval Studio for LLM, RAG and agentic evaluation. He has driven full-stack and architecture work on industry-leading AutoML products like DriverlessAI and contributed backend ML engineering to the widely used open-source H2O-3 platform, including adding an Aggregator API used for data aggregation tasks. Comfortable across Python, TypeScript, Go and Kubernetes (with past exposure to Java, C, C# and PHP), he blends hands-on coding with team leadership and product ownership. His background in academic AI research and practical ML engineering gives him a rare perspective across classical methods (GLM/GBM) and state-of-the-art LLM workflows. Based in Prague, he balances technical curiosity with eclectic off-duty pursuits—playing violin and flying planes—which speak to his discipline and risk-aware creativity.
11 years of coding experience
12 years of employment as a software developer
Engineer’s Degree, Artificial Intelligence, Engineer’s Degree, Artificial Intelligence at Czech Technical University in PragueBachelor’s Degree, Artificial Intelligence, A, Bachelor’s Degree, Artificial Intelligence, A at Technical University of Kosice
Czech, Slovak, English
Github Skills (11)
machine-learning10
h2o10
api10
python10
apidoc10
data-science10
r10
automl9
ensemble-learning8
javas6
java6
Programming languages (5)
Github contributions (5)
h2oai/h2o-3
Oct 2017 - Oct 2017
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:29 reviews, 46 commits, 10 PRs in 23 days
Contributions summary:Jan primarily focused on adding and refining the Aggregator API within the H2O-3 framework. Their contributions involved modifying the code generation scripts to include the Aggregator in R and Python APIs and fixing versioning issues. They also added tests for the Aggregator API and updated existing tests to reflect API changes. Furthermore, the user incorporated the Aggregator as an unsupervised method and added the output frame property, effectively enabling the use of the Aggregator for data aggregation tasks within the H2O platform.
xgboostgampythonk-meansautoencoders
johnygomez/AtariRL
May 2016 - Sep 2017
Contributions:23 pushes, 1 branch in 1 year 4 months
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