# Christina Machak > Machine Learning and Applied AI Location: San Francisco Bay Area, United States Profile: https://flows.cv/christinamachak ## Work Experience ### Software Engineer, Applied AI @ Block Jan 2022 – Present ### Staff Engineer, Marketplace Team @ Scoop Technologies, Inc. Jan 2020 – Jan 2020 ### Senior Engineer, Marketplace Team @ Scoop Technologies, Inc. Jan 2019 – Jan 2020 | San Francisco Bay Area I designed and built data products to accelerate the growth of Scoop's carpool marketplace. This work combined software and data engineering with data science -- from designing data pipelines to serving production models. ### Fellow @ Clean Energy Leadership Institute Jan 2018 – Jan 2019 | San Francisco Bay Area ### Analytics Manager (Data Scientist), Early Stage Markets @ Lyft Jan 2018 – Jan 2019 | San Francisco Bay Area Led analytics and growth strategy for Lyft's early and developing markets. ### Analytics Lead, Early Stage Markets @ Lyft Jan 2017 – Jan 2018 | San Francisco Bay Area ### Senior Researcher @ Center for Sustainable Energy (CSE) Jan 2015 – Jan 2017 | San Francisco Bay Area and San Diego, CA • Implement quantitative models (clustering, forecasting, etc.) to inform decision makers and market participants about the impact of energy efficiency, renewable energy, transportation programs, and policies. • Utilize geospatial statistics and customer segmentation analysis to assess diffusion of sustainable energy technologies • Create interactive web-based data visualizations e.g., a tool to help residential solar customers understand time of-use rates (research.energycenter.org/solarcalc) and a map of electric vehicle rebates to inform policy makers (cleanvehiclerebate.org/eng/cvrp-rebate-map) • Develop research projects and write grant proposals, including co-authoring a $1M+ research grant in partnership with Berkeley National Lab ### Data Scientist, Risk Model Development @ RMS Jan 2014 – Jan 2015 | San Francisco Bay Area · Developed, calibrated, and validated large-scale hurricane and flood models to quantify natural disaster risk to infrastructure · Collected, cleaned and analyzed large demographic, weather, and infrastructure datasets for model input · Wrote efficient R and Fortran code to carry out time-intensive numerical modeling and produced maps and graphics with an eye for detail · Collaborated across several modeling and software teams, using effective communication and time management ## Education ### Computer Science Recurse Center Jan 2021 – Jan 2021 ### M.S. Stanford University ### B.S. University of Michigan ## Contact & Social - LinkedIn: https://linkedin.com/in/christina-machak --- Source: https://flows.cv/christinamachak JSON Resume: https://flows.cv/christinamachak/resume.json Last updated: 2026-03-23