Pedro Santos
Software Engineer at Goldman Sachs
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolPedro Santos is a Software Engineer with nine years of hands-on experience and a recent track record at Goldman Sachs, progressing from Data Engineer and security incident analyst to his current engineering role. Based in Washington, DC and originally from London, he combines a practical background in DevOps, data science, and cloud-focused tooling with a curiosity for modular, scalable product design that adapts to changing requirements. He’s comfortable across the stack—having built Spring Boot/Angular services, Python data automation, and CI-focused cloud monitoring—and prioritizes product quality and cost-aware infrastructure decisions. Pedro thrives on motivated teams that learn from one another and continuously improve, and he brings a research-minded perspective from time spent in a computer vision lab exploring robotics and neuroscience intersections. Notably, his career path reflects both enterprise-grade production engineering at a leading finance firm and early-stage experimentation in automation and observability.
9 years of coding experience
2 years of employment as a software developer
Undergraduate Computer Science, Undergraduate Computer Science at Columbia UniversityWestminster School, London
English, Portuguese, Spanish
Github Skills (15)
reinforcement-learning9
deep-reinforcement-learning8
science6
python5
deep-learning5
machine-learning5
strava5
membership4
mobility4
data-science4
logistics4
transport4
storage3
data-storage3
optimization3
Programming languages (3)
Github contributions (5)
duartegalvao/Image-Colorization-with-Deep-Learning
May 2019 - Dec 2019
This is a project for the DD2424 - Deep Learning in Data Science course in KTH (Royal Institute of Technology).
Contributions:45 commits, 1 push in 7 months
pythonsciencedata-sciencedeep-learningmachine-learning
ambiental-ist/website
Oct 2020 - Mar 2023
Contributions:58 pushes, 5 branches in 2 years 5 months
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