Anthony Perez
Software Engineer at Google
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAnthony Perez is a software engineer with a decade of experience at the intersection of machine learning, GIS, and cloud-native engineering, currently building ML systems at Google in Palo Alto. A Stanford coterm graduate (MS CS, AI) who helped pioneer large-scale socio-economic mapping, he led development of Atlas AI’s pixel-level building detection product and an internal MLOps platform that standardized CI/CD, IaC, and Kubernetes-based orchestration. He combines research rigor—co-authoring work on predicting asset wealth from satellite imagery—with hands-on delivery of production pipelines using Spark, GEE, PyTorch/TensorFlow, and GCP services. Anthony’s strengths include operationalizing computer vision on remote-sensing data, mentoring teams in modern ML practices, and squeezing cloud cost-efficiency via autoscaling and preemptible instances. An uncommon thread through his career is repeated ownership of end-to-end products that translate earth observation into actionable socio-economic maps.
9 years of coding experience
8 years of employment as a software developer
Coterminal B.S/M.S in Computer Science, Artificial Intelligence, cum gpa 3.917, Coterminal B.S/M.S in Computer Science, Artificial Intelligence, cum gpa 3.917 at Stanford University
Spanish, English
Github Skills (13)
earth-engine9
earth-observation8
geospatial8
bayesian6
machine-learning5
deep-learning4
bayesian-statistics4
bayesian-inference4
julia4
probabilistic-models4
probabilistic-programming3
bayesian-methods3
probabilistic-graphical-models3
Programming languages (4)
Github contributions (5)
AnthonyPerez/bigorm
Aug 2019 - Mar 2023
A Google Big Query ORM
Contributions:6 releases, 8 PRs, 18 pushes in 3 years 7 months
querymysqlsqlbig-querydatabase
AnthonyPerez/gee_tools
Jul 2018 - Jun 2022
Contributions:6 releases, 15 PRs, 36 pushes in 3 years 11 months
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