Jakub Háva
Software Engineering Manager at H2O.ai
Czechia
Summary
🤩
Rockstar🎓
Top SchoolJakub Háva is a software engineering manager with 11 years of experience building and leading distributed ML and big-data systems, currently overseeing H2O.ai’s Feature Store, Orchestrator, and MLOps initiatives across a 12-person, tri-continental team. A hands-on Java/Scala/Python engineer and Spark specialist, he has deep open-source contributions to flagship H2O projects like Sparkling Water and H2O-3, improving backend integrations, infrastructure, and production deployments. He progressed from core Sparkling Water author and code owner to lead roles delivering large-scale feature store services, combining low-level backend fixes with system-level orchestration design. Jakub pairs rigorous academic training in distributed computing with frequent public speaking on Spark and ML integrations, and brings a curator’s attention to robustness—evident in his work replacing brittle hostnames with IPs and removing deprecated options to harden production stacks. Outside engineering he’s curious about cultures and human behavior, and enjoys tea, mountains, and slacklining—traits that inform his collaborative, people-focused leadership style.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of PortsmouthMaster of Software Engineering, Computer Software Engineering, Distributed Computing, Excellent, Master of Software Engineering, Computer Software Engineering, Distributed Computing, Excellent at Charles University in Prague
English, Czech
Github Skills (15)
scala10
javas10
spark10
h2o10
back-end-development10
java10
big-data9
machine-learning8
data-science8
hadoop8
scripting7
testing7
script7
sh7
shell7
Programming languages (8)
Github contributions (5)
h2oai/sparkling-water
May 2015 - Aug 2021
Sparkling Water provides H2O functionality inside Spark cluster
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 60 reviews, 6328 commits in 6 years 3 months
Contributions summary:Jakub was responsible for implementing and fixing backend features within the Sparkling Water library, specifically related to H2O backend integrations within the Spark cluster. Their contributions involved updating backend functionality to return IP addresses instead of hostnames in startWorkerNodes and startClient and updating the internal H2O backend code. Furthermore, they removed deprecated options and parameters from the code base, including those for managing communication and logging.
develapiintegrationrsparklingh2o
h2oai/h2o-3
Jul 2015 - Jul 2020
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 & Infrastructure Engineer
Back-end Developer & Infrastructure EngineerContributions:3 reviews, 221 commits, 360 PRs in 5 years 1 month
Contributions summary:Jakub contributed to the back-end of the H2O-3 project by implementing the `setNames` method for the `H2O Frame` class in Java, enabling column name customization. They also modified shell scripts in the hadoop subproject to improve folder naming and address artefact issues. Further, they contributed to infrastructure by adding a test frame builder and resolving issues in the codebase.
xgboostgampythonk-meansautoencoders
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