Ofer Helman
Data And AI Architect
Hadera, Haifa District, Israel
Summary
👤
Senior🎓
Top SchoolOfer Helman is a Data and AI Architect with 12 years of experience designing scalable machine learning, NLP, and big data systems across startups and government. He blends deep engineering (Python, Java, Scala, storage and automation infrastructure) with leadership roles from R&D head to tech lead and architect at companies like Kaltura and VAST Data. His open-source contributions include substantive back-end work to the widely used NLTK library—adding and refining n-gram collocation finders—demonstrating practical NLP expertise beyond research. Based in Hadera, Israel, he pairs an electrical engineering background and an MBA with a track record of shipping production-ready ML pipelines and search solutions in high-stakes environments. Known for turning complex algorithmic problems into robust, maintainable systems, he also brings hands-on experience building testing and automation for storage products.
12 years of coding experience
10 years of employment as a software developer
M.BA Managment and Business studies, M.BA Managment and Business studies at Netanya Academic CollegeArt/Art Studies General, Art/Art Studies General at MaayanB.Sc Electrical Engineering, B.Sc Electrical Engineering at Ruppin Academic Center
Hebrew, English
Github Skills (9)
nltk10
nlp10
python10
natural-language-processing10
data-structure9
algorithm9
data-structures9
algorithms9
machine-learning8
Programming languages (7)
Github contributions (5)
nltk/nltk
Feb 2014 - Jul 2014
NLTK Source
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits, 1 issue in 4 months
Contributions summary:Ofer primarily contributed to the `nltk/nltk` repository by adding and modifying code related to collocation finders. Their work included implementing a new `QuadgramCollocationFinder` class, correcting and extending existing `TrigramCollocationFinder` functionality, and addressing bugs. These changes involved significant modifications to the codebase for natural language processing tasks, adding functionality related to finding and scoring n-gram collocations. They made multiple commits and refactored the code to improve readability and functionality.
nlppythonmachine-learningnltknatural-language-processing
helmanofer/ofer-helman-cv
Jan 2022 - Aug 2024
a simple template to write your CV in a readable markdown file and use CSS to publish/print it.
Contributions:2 PRs, 15 pushes, 2 branches in 2 years 6 months
publishsimple-templatereadablemarkdown-filecss
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