Juan Carlos Ortiz
Machine Learning Engineer
Bogota, RAP (Especial) Central, Colombia
Summary
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SeniorJuan Ortiz is a quantitative analyst and software developer with a decade of experience applying rigorous mathematics to real-world systems in finance and tech. Trained at MIT and Stanford under Jan Vondrák, he blends combinatorics, randomized algorithms, and probability theory with practical skills in ML, systems engineering, and production-grade software. His recent work at D. E. Shaw builds on internships at Google, Instagram, and Jane Street where he modeled resource demand, developed multi-task ML architectures in PyTorch, and traded using data-driven predictive models. Comfortable moving between theory and implementation, he often translates abstract optimization and Bayesian ideas into scalable pipelines and ranking systems. Based in New York, he has a particular knack for spotting statistical structure in operational problems—a perspective shaped by deep theoretical training and hands-on systems work.
11 years of coding experienceProgramming languages (2)
Github contributions (5)
ortizjuan2/socketiotest
Nov 2018 - Nov 2022
Socket IO test
Contributions:6 PRs, 13 pushes, 1 branch in 4 years
websocketnodejssocketsocket-io
ortizjuan2/mbrbt
Jul 2015 - Jul 2017
Contributions:3 pushes, 1 branch in 2 years 1 month
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