Anthony Perez
ML EngineerSenior Software Engineer at Google
Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Software Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Currently working at the intersection of Machine Learning, Geographic Information Systems (GIS), and Software Engineering. Interested in and have experience with research and deployment of Artificial Intelligence systems. Class of 2018 Stanford University graduate, with a Master of Science in Computer Science specializing in Artificial Intelligence.
Stanford University
Coterminal B.S/M.S in Computer Science, Artificial Intelligence
January 1, 2013 – January 1, 2018
Senior Software Engineer
November 1, 2025 – Present
Sunnyvale, California, United States
Software Engineer
August 1, 2023 – November 1, 2025
Sunnyvale, California, United States
Atlas AI
Senior AI Engineer
October 1, 2020 – August 1, 2023
Atlas AI
Product Engineer
June 1, 2018 – October 1, 2020
Stanford University
Teaching Assistant, CS325B Data for Sustainable Development
September 1, 2017 – March 1, 2018
Stanford, CA
Stanford University
Research Assistant, Sustainability and Artificial Intelligence Lab
June 1, 2016 – June 1, 2018
Stanford, CA
Citrix
Cloud Services Software Development Engineer (Intern)
June 1, 2015 – August 1, 2015
Fort Lauderdale, FL
Citrix
Cloud Services Software Development Engineer (Intern), Workspace Services Team
June 1, 2014 – August 1, 2014
Fort Lauderdale, FL
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty
April 1, 2017 – June 1, 2017
A class project for CS231N at Stanford University. Won the 1st Place Prize for teams of two at the Poster Session. The paper proposes a semi-supervised and multitask approach to solving the data-sparse problem of predicting poverty.
CWC Dashboard
June 1, 2015 – August 1, 2015
An internal tool used by Citrix. The portion I was responsible for surfaced information relating to the Cloud Connectors used by Citrix Workspace Cloud. I worked as a full stack developer for this project, creating both a back-end API and front-end UI. The back-end was built with C# while the front-end used AngularJS, Twitter Bootstrap, Highcharts and plain HTML, JavaScript, and CSS.
Cultural Fit Analysis
The candidate's experience at Atlas AI, a company focused on socio-economic modeling and sustainable development, aligns well with a mission-driven culture. Their academic project on predicting poverty using satellite images further reinforces this alignment. The diversity of roles from research assistant to senior AI engineer, coupled with full-stack development experience, indicates adaptability and a broad skill set. The candidate's involvement in teaching and mentoring suggests a willingness to share knowledge and contribute to team growth.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship capabilities through their roles at Atlas AI and Stanford University. Their experience in leading MLOps platform development and modernizing team practices indicates a proactive and collaborative operational fit. The project descriptions suggest problem-solving skills and the ability to work on complex, data-sparse problems.