Marcin Pękalski
Machine Learning Engineer at Meta
Stockholm, Stockholm County, United Kingdom
Summary
👤
Senior🎓
Top SchoolMarcin Pękalski is a Machine Learning Engineer with a decade of experience building data-driven products and leading analytics teams, now working at Meta after five years managing and scaling data science at Kambi. He blends rigorous mathematical training with hands-on software engineering—proficient in Python, R, TensorFlow, Docker, Spark/Hadoop and SQL—to deliver real-time ML models, automation, and robust reporting pipelines. Early career roles in BI, SAS consulting and telecoms honed his skills in query optimization, ETL design and performance tuning, which he pairs with modern MLOps practices. Marcin has a history of shipping production-ready tools (including Android UI improvements in open source) and routinely dockerizes proofs-of-concept to accelerate deployment. Colleagues know him for translating complex analyses into actionable product insights and for being the department’s first user/tester of new infrastructure. He holds advanced studies in mathematics and economics, bringing a quantitative rigor that informs both model design and business-focused decision making.
10 years of coding experience
11 years of employment as a software developer
Master Volkswirtschaft, Master Volkswirtschaft at University of ViennaMasters Mathematics, Masters Mathematics at University of WarsawProject Management, Project Management at SGH Warsaw School of Economics
English, Polish
Github Skills (5)
javas10
textview10
android10
java10
typeface8
Programming languages (12)
Github contributions (5)
AndroidDeveloperLB/AutoFitTextView
Mar 2016 - Mar 2016
A TextView that automatically fit its font and line count based on its available size and content
Role in this project:
Mobile Developer (Android)
Mobile Developer (Android)Contributions:5 commits, 3 PRs, 9 comments in 1 day
Contributions summary:Marcin's contributions primarily focused on enhancing the `AutoFitTextView` library for Android. They addressed issues related to the `textAllCaps` property, ensuring text fitting was handled correctly before applying capitalization. Additionally, the user added functionality and made updates related to setting and adjusting text sizes within the `AutoResizeTextView` class. These changes reflect a focus on improving the library's text rendering and appearance capabilities.
fonttextviewfit
mpekalski/MLDocker
Oct 2017 - May 2018
Contributions:19 commits, 16 pushes, 1 branch in 7 months
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