Yanir Seroussi
AI ML Success Architect at Climate Tech Partners
Queensland, Australia
Summary
🤩
Rockstar🎓
Top SchoolYanir Seroussi is an AI/ML Success Architect with 13+ years delivering data-intensive systems from research prototypes to production platforms, and over a decade marrying data science rigor with strong software engineering practices. He has led and scaled data teams at companies like Automattic and Car Next Door, built recommender and forecasting systems, and helped startups secure funding by shaping architecture and product strategy. A PhD in AI and a BSc in Computer Science underpin his ability to translate complex models into reliable, maintainable code—evidenced by contributions to high-profile open-source projects such as the lifetimes LTV library and DuckDuckGo Instant Answers tooling. Yanir is particularly effective at bridging technical and non-technical stakeholders, improving development efficiency, and embedding long-term engineering discipline into analytics teams. Now focused on climate and nature tech, he engages as a fractional chief, advisor, or embedded practitioner to help organisations build durable in-house AI capabilities. An unusual strength: he combines senior leadership experience with the hands-on habit of writing "beautiful" production-ready code.
13 years of coding experience
13 years of employment as a software developer
BSc, Computer Science, BSc, Computer Science at Technion - Israel Institute of TechnologyPhD, Artificial Intelligence / Data Science: User Modeling and Natural Language Processing, PhD, Artificial Intelligence / Data Science: User Modeling and Natural Language Processing at Monash University
English, Hebrew
Github Skills (20)
python10
data-science10
pandas10
statistics10
data-analysis10
scripting9
json9
pytest9
apidoc9
scikit9
scikit-learn9
api9
shell9
script9
sh9
Programming languages (9)
Github contributions (5)
CamDavidsonPilon/lifetimes
Oct 2016 - Nov 2016
Lifetime value in Python
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 4 PRs, 16 comments in 11 days
Contributions summary:Yanir significantly contributed to the `lifetimes` repository, a Python library for lifetime value modeling. Their work involved enhancing the `calibration_and_holdout_data` function by adding monetary value calculations. They also implemented and tested the `GammaGammaFitter`, ensuring its functionality and documented it. These changes demonstrate a focus on extending the library's capabilities for financial analysis and customer behavior prediction.
lifetimestatisticspythondata-science
duckduckgo/zeroclickinfo-fathead
Aug 2014 - Sep 2014
DuckDuckGo Instant Answers based on keyword data files
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits in 18 days
Contributions summary:Yanir focused on enhancing the PyPI data processing scripts within the DuckDuckGo Instant Answers project. Their work involved refactoring the fetch script for performance improvements, modifying the parsing script to extract and display more comprehensive package information, including download counts, release dates, and development status. They primarily used Python, and shell scripting. The user also updated file structures for greater efficiency.
pythonjavascriptduckduckgoinstant-answersruby
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