Pablo Alcain
Machine Learning Engineer at Meta
United Kingdom
Summary
👤
Senior🎓
Top SchoolPablo Alcain is a Machine Learning Engineer with 12 years of experience blending scientific rigor and software engineering to deliver scalable ML systems, now working at Meta in the UK. With a PhD and MS from the University of Buenos Aires, he started in fundamental research and transitioned to industry, building experiment protocols and production-ready pipelines that democratize data science across teams. He excels at leading high-performance teams and designing solutions that lower the barrier from exploration to deployment, balancing statistical insight with robust software design. Driven by a knowledge-centric mindset, he focuses on preserving institutional learning across iterations so teams gain depth over time as well as breadth across stakeholders. Colleagues know him for making complex, research-grade methods usable by wider audiences and for his emphasis on reproducibility and scalable experimentation. An unexpected strength is his scientist’s habit of structuring organizational memory, turning ephemeral insights into lasting assets.
12 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Buenos Aires
English, Italian, French, Portuguese
Github Skills (38)
r10
java10
spark9
python9
scala9
jdbc9
sql9
computer-vision8
object-detection8
big-data8
hardware8
apache-spark8
yolov48
git7
dynamics7
Programming languages (8)
Github contributions (5)
pabloalcain/pabloalcain.github.io
Apr 2016 - Jan 2023
Personal page
Contributions:27 commits, 18 PRs, 39 pushes in 6 years 10 months
javascriptreactpersonal-page
pabloalcain/lammps-python
Apr 2014 - Mar 2017
Contributions:323 commits, 35 pushes, 2 branches in 2 years 11 months
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