Ophir Yoktan
Algorithm Researcher at SWAPP.AI
Israel
Summary
🤩
Rockstar🎓
Top SchoolOphir Yoktan is an algorithm researcher and senior data scientist with 11 years of experience building end-to-end ML solutions across finance, recruitment, and ad-tech domains. He has led teams at LSEG developing unstructured data extraction for financial documents and delivered production ML systems at ZipRecruiter tackling matching, scam detection, search, and pricing. His technical repertoire spans deep learning and multimodal models, NLP, classical ML, and scalable data engineering with hands-on experience in TensorFlow, Spark, CatBoost and cloud storage integrations. An active backend contributor to the widely used DVC project, he has practical expertise in data versioning, AWS credential flows, file integrity and storage configuration. Ophir’s background combines rigorous academic training in computer science with practical systems work from military image analysis to enterprise SATCOM optimization, giving him a rare blend of research depth and production-focused engineering. Based in Israel, he gravitates toward problems that merge unstructured data research with robust, repeatable ML infrastructure.
10 years of coding experience
28 years of employment as a software developer
B.Sc. Computer Science, B.Sc. Computer Science at The Hebrew University of JerusalemM.A. Biological Thought, M.A. Biological Thought at The Open University of Israel
English, Hebrew
Stackoverflow
8,299reputation
1.9mreached
138answers
112questions
selenium
top-5%
excel
top-5%
soa
top-5%
python
top-5%
pandas
top-5%
selenium-webdriver
top-5%
Github Skills (20)
python10
aws10
selenium9
selenium-webdriver9
pandas9
cloud-storage9
soa9
excel9
debug8
git7
developer-tools7
shell6
mongodb6
keras6
tensorflow6
Programming languages (8)
Github contributions (5)
iterative/dvc
Jul 2017 - Aug 2017
🦉 Data Versioning and ML Experiments
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 10 PRs, 3 pushes in 1 month
Contributions summary:Ophir primarily contributed to the backend aspects of the DVC project, demonstrating a focus on data cloud integration and functionality. Their work involved handling AWS credentials, downloading files, implementing file integrity checks, and fixing bugs. Furthermore, the user refined settings configurations within the project. These changes suggest a strong understanding of cloud storage interactions and project configuration.
data-version-controlml-modelspythonversion-controldata-science
ophiry/Notebooks
Sep 2020 - Apr 2022
Learn Python for free using open-source notebooks in Hebrew.
Contributions:2 PRs, 7 pushes, 1 branch in 1 year 7 months
pythonlearn-pythonjupyter-notebookhebrewnotebooks
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