# Jon Wolverton > Software Engineer at Google Location: Berkeley, California, United States Profile: https://flows.cv/jonwolverton I'm a full-stack software engineer with 3 years of engineering experience and another 4 years inside a technical organization in engineering-adjacent roles, including teaching, management, and data analysis. As an engineer, I have two core values: maintainability and empathy. I obsess over reducing complexity and emphasize clear thinking in any problem domain, technical or otherwise, and I have a history of becoming a domain expert on systems that I touch. I think about the needs of end-users, both in how they interact with the product and how the product interacts with their lives. I especially love roles where I get to provide value to people I have a direct, ongoing relationship with, whether it's serving people on my team, users on other teams, or customers I get to talk to to understand their use cases and see the ways in which the solutions I build meet their needs. ## Work Experience ### Software Engineer @ Google Jan 2020 – Present | Mountain View, California, United States Geo Enterprise EngProd ### Software Engineer @ Future of Humanity Institute (Oxford University) Jan 2020 – Jan 2020 | Remote Volunteered then contracted on a global team building a COVID-19 forecasting tool to inform under-resourced policymakers. • Built a fully-tested data pipelining process using OOP, Luigi, and Pandas that was configurable from a spreadsheet. • Worked across the whole project stack as needed (Python, Luigi, Pandas, TypeScript, React, Plotly). ### Analytics Engineer @ App Academy Jan 2019 – Jan 2020 | San Francisco Bay Area Worked on a small agile team that serviced education tools for the company while also performing data analytics and data engineering duties. Technologies: React, Rails, Node, Docker, Terraform, AWS (ECS, Redshift), SQL, PostgreSQL, ERD, Python analytics tools Accomplishments: • Built analytics dashboards using Jupyter and Matplotlib with deployment to AWS ECS using Docker and Terraform. • Wrangled fractured data schemas into a central visualization using DbSchema ERD, identifying PII along the way. • Generated accurate regulatory reporting numbers from lossy data on short notice • Consulted with other departments to run statistical analyses ### Selection Manager @ App Academy Jan 2016 – Jan 2019 | San Francisco Bay Area Department head in charge of setting and applying admissions standards. Technologies: React, JSON-Schema, Python analytics tools (Jupyter/iPython, Pandas, Matplotlib, Numpy, Scipy, Scikit-Learn) Responsibilities: • Coordinated between different admissions stakeholders: admissions, marketing, sales, instructional, and leadership to gather, vet, and negotiate process improvements. • Used data to analyze the effectiveness of current processes, suggest improvements, and validate changes • Managed and trained a remote team of 7-10 interviewers and 4-5 reviewers • Managed the day-to-day admissions process, addressing any hangups or outliers • Built and maintained a flexible, versioned JSON web form rubric system (JSON-Schema, React) • Built and maintained an analytics toolkit using SciPy for statistical analysis and A/B testing support and Pandas + dynamic SQL to create a consistent interface for querying and merging data across PostgreSQL, Redshift, and Salesforce SOQL. ### Coding Instructor @ App Academy Jan 2015 – Jan 2016 | San Francisco Bay Area Lectured and gave 1-1 help to students, many of whom had not coded before, in a fast-paced course focused on Ruby, Rails, SQL, JavaScript, and React. This demanded top-notch empathy, communication, technical knowledge, and debugging skills. Technologies: JavaScript, React, jQuery, Webpack, Ruby, Rails, SQL, HTML, CSS, Meraki, MacOS, Bash, AppleScript ### Backend Developer @ Sidecar Technologies, Inc. Jan 2013 – Jan 2015 | San Francisco Bay Area Worked on the Platform team supporting multiple frontend applications for a ride-sharing and delivery service. Accomplishments • Designed and built the company's next-generation server using Pyramid and SQLAlchemy. Included a partner API with a framework for custom integrations, a data abstraction layer, and unit and integration testing with database transactions. • Proposed and built an asynchronous log monitoring system using Tornado that cut downtime by more than half. • Proposed and built an isomorphic programmable simulator for testing complex client-server interactions using Mocha.js. • Built a zero-latency asynchronous payment pre-authorization system using Node.js that integrated with the Stripe API. ## Education ### Web Application Development App Academy ### Bachelor of Arts (BA) in International/Global Studies Cedarville University ## Contact & Social - LinkedIn: https://linkedin.com/in/wolverdude - Website: http://www.overhackingit.com - Website: http://wolvman.tumblr.com --- Source: https://flows.cv/jonwolverton JSON Resume: https://flows.cv/jonwolverton/resume.json Last updated: 2026-03-22