Diego Escobedo is an engineer with eight years of experience who blends machine learning research and product-focused engineering, currently building at Outtake after co-founding and serving as CTO at a YC-backed startup. His background spans ML applications in medical research, finance, and robotics, with hands-on research at MIT CSAIL developing Neural ODE models for stem cell reprogramming and internships at Citadel and Google focused on quantitative and optimization problems. He pairs a strong academic foundation from MIT with practical experience shipping predictive algorithms at EA and Google Research and building financial tools at Goldman Sachs. Diego’s trajectory shows a talent for translating advanced ML concepts into deployable systems and startups, and a recurring interest in biomedical signal processing that complements his market- and product-driven work.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science & Engineering, Bachelor's degree Computer Science & Engineering at Massachusetts Institute of Technology
High School Degree, High School Degree at Burlingame High School
Contributions:7 commits, 1 push, 1 branch in 1 year 2 months
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