# Xinyan Liu > Software Engineer @ Google X, Tapestry, AI for Grid Location: Mountain View, California, United States Profile: https://flows.cv/xinyanliu As a graduate student pursuing a degree in Computer Science, coupled with a rich background in architectural engineering and environmental health science, I have seen how effectively and significantly computing tools may aid in the completion of large-scale engineering projects. My educational journey has fostered a multifaceted skill set, enriching my understanding as I ventured across diverse fields. Through my study of leveraging data-driven strategies and machine learning techniques, I have delved deep into the analysis of extensive environmental datasets. This research journey has cultivated in me a holistic perspective on the power of data and artificial intelligence. At this stage of my career growth, I am eager to gain proficiency with programming tools to apply these sophisticated techniques to the engineering business and emphasize to industry professionals the critical nature of data-driven methodologies while undertaking engineering analysis. ## Work Experience ### Software Engineer @ X, The Moonshot Factory Jan 2025 – Present | Mountain View, California, United States ### Data Engineer @ Tesla Jan 2025 – Jan 2025 | Palo Alto, California, United States Maintain data pipeline applications within the Field Quality team, and utilize energy fleet data for diagnostics and prognostics. Created a centralized data hub frontend web application for all executive and internal dashboards/analytics using Python, Panel, CSS, SQL. ### Graduate Teaching Assistance @ Northeastern University Jan 2024 – Jan 2024 Graduate Teaching Assistance for DS5500 Data Science Capstone Course ### Software and Data Engineer @ Apriqot Inc. Jan 2024 – Jan 2024 | Portland, Maine Metropolitan Area Developed an innovative demographic and geographic analytics platform. Enabled integration of local datasets and facilitated multi-dimensional analyses, leading to improved strategic decisions and effective communication with stakeholders. Implemented data-driven techniques to generate accurate small-area estimates of health outcomes, addressing inconsistencies in direct state-level estimates and improving the understanding of demographic domains at the county level. ### Graduate Student Researcher @ Institute for Experiential AI at Northeastern University Jan 2024 – Jan 2024 | Portland, Maine, United States ### Software Developer @ The Jackson Laboratory Jan 2023 – Jan 2023 | Portland, Maine Metropolitan Area Developed a Python-based Geneweaver API: Implemented a local API service enabling Geneweaver users and developers to run Geneweaver tools on personal machines, significantly enhancing accessibility and user autonomy in genomic data analysis. Leveraged Simultaneous Multithreading for Enhanced Performance: Optimized the API to support simultaneous multithreading, allowing concurrent analysis runs and improving throughput, which significantly reduced computational time and increased the efficiency of genomic data processing. Engineered Robust Functionality and User Experience: Crafted key API features including POST for initiating analysis runs, GET for retrieving run statuses and results, and DELETE for canceling runs, all while ensuring a user-friendly interface and comprehensive documentation for ease of use. ### Research And Development Engineer @ Pacific Northwest National Laboratory Jan 2022 – Jan 2022 | Seattle, Washington, United States Help developing sets of performance curves, establishing the necessary control operation for cold climate heat pumps for residential applications, and developing modeling approaches for such equipment for EnergyPlus, the U.S. Department of Energy’s flagship whole-building simulation software. The modeling approach will also be included as part of PNNL’s residential prototype modeling infrastructure, and analysis will be performed to evaluate the potential benefit of this technology. ### Machine Learning Research Assistant @ University of Utah Department of Civil and Environmental Engineering Jan 2021 – Jan 2022 | Salt Lake City, Utah, United States My research is dedicated to building and urban energy modeling, and vehicle-to-grid-to-building technology through machine learning and statistical techniques. I have conducted a research project on Data-driven Seasonal ARIMA Modeling on Residential Neighborhood Building Energy Consumption Time Series Prediction Study. ### Building Performance Engineer @ Affiliated Engineers, Inc. Jan 2021 – Jan 2021 | San Francisco Bay Area Support the high performance design process through analysis of high performance design strategies and concepts. Provide technical solutions to meet client requirements based on high-performance design strategies while employing building performance analysis tools. Develop and optimize analytical tools and processes to provide timely,design-relevant insight to internal design teams, partners, and clients. Interpret and utilize information set forth in the basis of design as well as information gathered from users, project partners, field surveys, and code research. ### Heating And Air Conditioning Engineer @ Harbin Institute of Technology Jan 2018 – Jan 2018 | Harbin City, Heilongjiang, China ### Solar Consultant @ Maryzad Multi Projects Jan 2018 – Jan 2018 | Al Azbakiyya, Cairo Governorate, Egypt Contributed with the startup in projects, and assisted partnership between the startup and Chinese solar plant factories. Reviewed specifications engineering or manufacturing changes to achieve solar design objectives. ### Product Manager & National Supporting Team @ AIESEC Jan 2014 – Jan 2017 | China Mainland & Nottingham,UK 2014.10-2015.1 UNNC Outgoing-Global-Internship-Project team member 2014.10 Shanghai Regional Induction Conference Coordinator 2015.1-2015.9 Outgoing-Global-Internship-Project Middle Management Board 2015.4 AIESEC Mainland China East Region Conference Faci 2015.6-8 Cultural Envoy for Exchange Development for Chinese Volunteers in Mexico 2015.9-2016.9 External Resources team member; National Supporting Team Product Manager: Conducted research and surveys on African and South American overseas markets with local AIESEC committees. 2017.1-2017.9 UNUK Outgoing-Global-Internship-Project team member 2017.7 Lithuania International Train the Trainers Conference delegate ### Deep Water Life Guard @ Kalahari Resorts & Conventions Jan 2016 – Jan 2016 | Wisconsin Dells, Wisconsin, United States ### Marketing Intern @ Tocando Em Voce Jan 2016 – Jan 2016 | Rio de Janeiro, Rio de Janeiro, Brazil I worked with a group of interns and volunteers from various countries to develop the NGO's culture, purpose, and management. Contributed to the creation and optimization of a specialized website aimed at collecting information on underserved children and encouraging donations, fortifying the organization’s commitment to fostering musical education. Support the NGO’s mission to enrich the lives of underserved youth through music. ## Education ### Master of Science - MS in Environmental Health Science UCLA ### Master's degree in Computer Science Northeastern University ### Master of Engineering - MEng in Architectural Engineering, Mechanical Option Penn State University ### Bachelor of Engineering - BE in Architectural Environment Engineering University of Nottingham ## Contact & Social - LinkedIn: https://linkedin.com/in/xinyan-liu-4024a3a7 --- Source: https://flows.cv/xinyanliu JSON Resume: https://flows.cv/xinyanliu/resume.json Last updated: 2026-04-11