Sergio Camelo
Machine Learning Engineer at Instacart
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolSergio Camelo is a machine learning engineer and computational economist with nine years of experience and a Stanford PhD in Computational Mathematics, now applying large-scale ML at Instacart. He brings deep expertise in numerical methods and applied math from a long Stanford research trajectory and prior industry internships at Meta, Airbnb, and Rappi that bridged theory to production. As a teaching fellow in ML and data visualization, he combines strong communication skills with hands-on model development and an operations-research mindset for optimizing real-world systems. Based in New Haven, he is comfortable moving between research-grade algorithm design and product-focused engineering, with a track record of shipping data-driven solutions in both academic and industry settings. An under-the-radar strength is his background in computational economics, which informs principled approaches to decision-focused ML and large-scale optimization.
9 years of coding experience
3 years of employment as a software developer
Universidad de los AndesDoctor of Philosophy (Ph.D.) Computational Mathematics (ICME), Doctor of Philosophy (Ph.D.) Computational Mathematics (ICME) at Stanford University
Spanish, English, ItalianProgramming languages (1)
Github contributions (5)
serarca/DataVizStanford
Aug 2018 - Aug 2019
Contributions:4 commits, 3 pushes, 1 branch in 1 year
serarca/DecisionTrees
Apr 2017 - Aug 2017
Contributions:49 pushes, 1 branch in 3 months
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.