Mark Regan
Product Manager at Product Manager, Google Assistant
Dublin, Dublin 1, United States
Summary
🤩
Rockstar🎓
Top SchoolMark Regan is a product-focused AI leader and founder with 11 years building high-impact ML and consumer AI products at Google and early-stage ventures. He led 100+ engineer cross-functional teams across Google Assistant/Gemini and founded Google Cloud AI’s retail vertical, shipping enterprise solutions like demand forecasting and semantic search for Fortune 100 retailers. Now a two-time founder and CEO, he’s building agentic AI hiring tools and a new startup aimed at capturing the next generation of billion-dollar AI businesses. Technically literate from a data science background, he contributes to open-source ML projects—authoring a Bayesian modeling tutorial and improving Freqtrade’s ML stack for crypto trading. Educated across engineering, business and applied statistics (UCD, Grenoble, Stanford, Berkeley Haas), he combines product rigor, commercial impact, and hands-on model-building experience.
12 years of coding experience
13 years of employment as a software developer
Master's Degree International Business, Master's Degree International Business at Grenoble Ecole de ManagementProduct Management, Product Management at University of California, Berkeley, Haas School of BusinessBachelor of Engineering (B.Eng.) Mechanical Engineering, Bachelor of Engineering (B.Eng.) Mechanical Engineering at University College DublinData Mining and Applications Statistics, Data Mining and Applications Statistics at Stanford University
Stackoverflow
231reputation
4kreached
1answer
4questions
Github Skills (27)
bayesian-statistics10
python10
bayesian-data-analysis10
fread10
machine-learning10
mcmc10
pymc10
bayesian10
jupyter-notebook10
bayesian-inference10
algorithmic-trading10
data-science9
catboost9
pandas9
trading-bot9
Programming languages (4)
Github contributions (5)
markdregan/Bayesian-Modelling-in-Python
Sep 2015 - Nov 2015
A python tutorial on bayesian modeling techniques (PyMC3)
Role in this project:
Data Scientist
Data ScientistContributions:54 commits, 7 PRs, 57 pushes in 2 months
Contributions summary:Mark's commits focus on refactoring and updating a tutorial for Bayesian modeling techniques using PyMC3. The code modifications involve renaming files and reorganizing the structure of the tutorial notebooks. Furthermore, the commits include expanding the examples to be more holistic and cover more aspects of the tutorial content.
bayesianpymcpythonbayesian-statistics
freqtrade/freqtrade
May 2022 - Oct 2022
Free, open source crypto trading bot
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:7 reviews, 10 commits, 4 PRs in 6 months
Contributions summary:Mark contributed to the `freqtrade` project by implementing features related to the FreqAI module, specifically in data processing and model training. They made modifications to data handling, making extra return values available during backtesting and removing unused code. Additionally, the user worked on the `FreqaiMultiOutputClassifier` class and the `CatboostClassifierMultiTarget` model, indicating involvement in model development and optimization. The commits suggest a focus on enhancing the platform's machine learning capabilities for cryptocurrency trading strategies.
cryptotrading-botpythoncryptocurrenciestelegram-bot
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