Pablo Alcain
Machine Learning Engineer at Meta
Argentina
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 (52)
spark10
python10
r10
java10
sql10
apache9
libgit29
analytics9
large-scale9
scala9
jdbc9
big-data9
data-processing9
sdk9
scale9
Programming languages (8)
Github contributions (5)
pabloalcain/lammps-python
Apr 2014 - Mar 2017
Contributions:323 commits, 35 pushes, 2 branches in 2 years 11 months
pabloalcain/pexmd
Jan 2018 - May 2020
A parallel and extendable molecular dynamics code
Contributions:2 PRs, 63 pushes, 11 branches in 2 years 4 months
molecular-dynamicsparallelsimulationmolecularextendable
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.