Summary
Bernardo Oviedo is a software engineer based in San Francisco with a decade of experience building ML-driven systems at companies like Meta, Uber, and Google. He blends strong foundations in computer science and mathematics (3.87 GPA) with hands-on skills in Python, C++, Java, Golang, and data pipeline technologies to deliver production ML and infrastructure solutions. Bernardo is pursuing intersections of Machine Learning/AI and Quantum Computing—holding a certificate in Quantum Information Science—and is actively developing an NLP model to analyze political polarization over time. His background ranges from teaching NLP at UT Austin to leading robotics programming in FIRST, reflecting both mentorship and applied systems design. Known for turning research interests into practical tools, he brings curiosity about emerging compute paradigms to large-scale production challenges.
10 years of coding experience
1 year of employment as a software developer
Certificate, Quantum Information Science, Certificate, Quantum Information Science at The University of Texas at Austin
High School Diploma, 3.9/4.0, High School Diploma, 3.9/4.0 at American School Foundation of Torreon
Spanish, English