# Yousef Alowayed > Staff Software Engineer at Google Location: New York, New York, United States Profile: https://flows.cv/yousefalowayed Demonstrated ability to ship robust software, lead technical teams, develop and iterate over-engineering processes, work collaboratively across departments, design and deliver revenue-boosting features, and tackle catastrophic failures in systems and data. ## Work Experience ### Staff Software Engineer @ Google Jan 2025 – Present | New York, New York, United States ### Senior Software Engineer @ Google Jan 2021 – Jan 2025 | New York, New York, United States Supervisor: Dirk Hain Team: GCP's Container Analysis Helping to provide open and scalable Continuous Integration (CI) and Continuous Delivery (CD) tools for Google Cloud customers. ### Data Team Lead @ Super (hellosuper.com) Jan 2020 – Jan 2021 | San Francisco Bay Area Manages the team responsible for maintaining, analyzing, and surfacing all company data • Identifies data discrepancies and minimizes silos by architecting a data processing and warehousing solution to aggregate data across all internal data sources and 3rd party tools • Discovers and mitigates revenue-impacting risks by developing/designing solutions: • Saved $700k in anticipated losses due to failed transactions by storing and alerting on credit card expiration dates • Discovered and fixed 1.3% of total data that was invalid by collaborating with finance and operations teams • Supported the recovery of $1mm (~10% annual revenue) by analyzing historical data discrepancies • Identified $60k of annual lost revenue by integrating with 3rd party providers to compare existing property sizes with active plans and wrote design document (implemented by Eng) to stop future losses • Improves data quality and reduces technical debt by reviewing schema change pull requests from the Eng team • Reviews and approves all data schema proposals and pull requests from the engineering team • Facilitates data-driven decisions across all departments by providing live Tableau reports on various KPIs. Leveraged by: • Sales to pay commissions and marketing to identify customer segments for targeted campaigns • Leadership to understand which customer experiences impact satisfaction to increase renewal • Operations to identify fraud and reduce servicer labor and parts costs • Product to track the impact of new automation features on reducing human-hours spent on claims • Enabled future fundraising by aggregating data using Jupyter Lab to provide 5 years of product trends in 10 markets • Created all processes and workflows for the data team, including requesting reports and analysis, submitting and fixing data issues, and evaluating and prioritizing data team tasks based on effort and impact ### Software Engineer @ Super (hellosuper.com) Jan 2019 – Jan 2020 | San Francisco Bay Area Supervisor: Ryan Donnelly Team: Engineering Full Stack (Golang, React, Postgres) • Shipped ~150 features, reviewed ~280 pull requests, and resolved ~70 bugs across 3 websites and internal tools • Automated a fix of 9,000 contacts that were incorrectly bulk updated on an external system with no backups • Reduced overall QA time by creating and integrating 3rd party sandbox environments into existing regression tests • Reduced engineering review and QA time on large features by introducing a process to fragment/streamline the review • Created an engineering interview question bank and process for tracking historical candidate performance ### Alexa Software Development Engineering Intern @ Amazon Jan 2018 – Jan 2018 | Greater Boston Area Supervisor: Ravi Yasa Team: Alexa Conversational Recovery Project: Reduce bad experiences using historical data • Implemented API to store and update incoming Alexa traffic for ~1,000,000 requests per day • Leveraged newly gathered data to classify poorly performing Alexa user experiences • Improved user interactions by blocking historically poor Alexa experiences ### Mac Test Automation Engineer @ Apple Jan 2017 – Jan 2017 | San Francisco Bay Area Supervisor: Jeremy Basanese Team: Mac Systems Quality Project: Autonomous recovery mode test station • Reduced manual validation by 300 hours a year by deploying an automated test station for MacOS Recovery • Enhanced future scalability by making the architecture hardware invariant with an initial size of 15 Macs • Lowered upkeep by centralizing the system with a single server and implementing REST APIs for external controllers • Enabled other teams’ future automation by developing and show-casing USB emulators and screen recognition systems ### Powerwall & Powerpack System Test Engineer @ Tesla Motors Jan 2016 – Jan 2016 | 3500 Deer Creek Rd, Palo Alto, CA 94304 Supervisor: Jack Jester-Weinstein Team: TE Test Team Project: Autonomous update regression test station • Increased test coverage at no additional operating cost by deploying an automated firmware update test station • Eliminated manually starting tests by deploying the first continuous integration environment in the test team • Enabled other engineers’ automation efforts by developing modules (APIs) to control testing equipment over USB • Enhanced test repo code quality by introducing and pioneering an auto documentation system (Sphinx) ### Electrical Design and Assembly Intern @ MIT Media Lab Jan 2015 – Jan 2015 | Cambridge, MA Supervisor: Prof. Chris Schmandt, Cindy Hsin-Liu Kao Lab: Media Lab Mobility Group Project: Robotic Jewelry • Designed and wired the control system for centimeter size robots integrated into clothing, which allowed speed and direction control ### Intern Research Consultant @ Booz Allen Hamilton Jan 2015 – Jan 2015 | Riyadh, Saudi Arabia Supervisor: Principle. Johnny Ayoub Project (most information classified): Analysis and synthesis of strategic framework for the KSA desalination industry: • Identified and presented process inefficiencies in the Saudi desalination market • Recommended operational improvements based on historical production and profit data • Performed competitor bench marking analysis and identified potential process enhancements ## Education ### Bachelor of Science (B.S.) in Physics Massachusetts Institute of Technology ### Master of Science - MS in Computer Science KAUST (King Abdullah University of Science and Technology) ### Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering Massachusetts Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/yousef-alowayed --- Source: https://flows.cv/yousefalowayed JSON Resume: https://flows.cv/yousefalowayed/resume.json Last updated: 2026-03-30