Andrew Carlson is a software engineer in the San Francisco Bay Area with 11 years of experience building production-grade systems across backend, ML, and data infrastructure. He blends deep practical skills in Node.js, Go, Python, Kubernetes, and GCP with a research-rooted background in chemistry and data science, enabling him to translate complex scientific and medical problems into robust software and ML solutions. His work spans startups to big tech—shipping ML systems at Instagram, scaling document-level DNN training and MLOps for medical NLP, and improving infrastructure and cost-efficiency as a principal engineer. He co-created an open-source GraphQL-to-SQL transpiler (Join Monster) and presented at the inaugural GraphQL Summit, reflecting a long-standing interest in performant APIs and developer tooling. Motivated to build tools that accelerate science, engineering, medicine, and education, he seeks complex technical challenges where elegant engineering and measurable impact meet.
11 years of coding experience
7 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at University of California, Berkeley
Bachelor of Science (B.S.) cum laude Chemistry, Bachelor of Science (B.S.) cum laude Chemistry at University of California, Riverside
A more colorful, user-friendly implementation of `ls` written in Go
Contributions:12 releases, 20 commits, 6 PRs in 2 months
golangfigletansi-colorsterminalcommand-line
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.