# Connor Quinn > Agentic AI at Vannevar Location: Palo Alto, California, United States Profile: https://flows.cv/connorquinn I'm a 2020 Stanford Computer Science graduate with a focus on artificial intelligence and data systems. Since graduating, I’ve led the development and deployment of AI systems in production environments, including model architecture, cloud infrastructure (primarily AWS), and full-stack integration. Outside of work, I’m an endurance athlete focused on high-performance running. I have competed in Ironman triathlons, road marathons, and trail ultra-marathons, and know that pursuing high performance in sports fundamentally raises up how I show up in life and work. I’m also a former competitive chess player (USCF Candidate Master) and bring that same strategic mindset to the work I take on professionally. ## Work Experience ### Software Engineer @ Vannevar Labs Jan 2025 – Present | Palo Alto, California, United States ### Senior Machine Learning Engineer @ FloSports Jan 2025 – Jan 2025 | Palo Alto, California, United States - Launched FloSports’s first in-house AI offering, a computer vision-powered virtual pan and zoom (“VPZ”) software applied to wrestling, becoming a standard offering for wrestling events starting in the 2025-2026 season ### Machine Learning Engineer @ FloSports Jan 2024 – Jan 2025 | Austin, Texas, United States - Leading development on multiple of Flo’s first in-house AI initiatives, including edge-deployed computer vision systems and NLP solutions such as named entity recognition for cleaning a highly specialized database. - Built the machine learning operations (ML Ops) infrastructure from the ground up to support scalable experimentation, model development, iteration, and deployment. - Established and managed partnerships with data vendors to support ongoing data labeling and evaluation. - Took on flexible responsibilities across product management, operations for deploying software to edge devices, and project stability during key project lifecycle phases. - Leveraged modern AI tooling to significantly accelerate development timelines and streamline internal documentation efforts even during busy development periods. - One of Q1 2025 Product Org MVPs ### Data Scientist & Software Engineer @ FasCat Coaching Jan 2022 – Jan 2024 | Boulder, Colorado, United States Primary data-responsible engineer at start-up during initial launch and ~15 months following, responsible for digesting activity & sleep data from several wearable device sources (Garmin, Oura, etc.), transforming and storing that data in a reusable way for both front and back-end development, and implementing algorithms to turn this massive data into a user-centric message to drive effective real-world endurance training. Also co-led development and launch of industry-leading LLM Endurance Coach leveraging years of FasCat’s coaching knowledge base and proprietary training/recovery metrics. ### Business Intelligence Developer II @ Angi Jan 2022 – Jan 2022 | Denver, Colorado, United States Primary owner of business product reporting in Looker, both in building front-end dashboards and as a lead curator of the Angi back-end LookML code base. Also worked on transition of legacy systems to unified Cloud-based data sources across combined Data Analytics/Science groups at Angi. ### Business Intelligence Developer @ Angi Jan 2020 – Jan 2022 | Denver, Colorado, United States Supported business intelligence efforts for primarily the Product and the Sales sides of Angi, namely via traditional BI visualization, data warehousing and modeling, and self-serve capabilities in Oracle Analytics Cloud and Looker. ### Business Analytics Intern @ Thumbtack Jan 2019 – Jan 2019 | San Francisco, California - Developed comprehensive machine learning-based supply & demand forecaster to diagnose the health of its nationwide markets well ahead of time - Conducted deep dive into Thumbtack’s category-level health to give stakeholders initial strategies for improving its category health into 2020 - Wrote and shared multiple technical tutorials for full-time analysts, with topics ranging from machine learning to regular expressions. Also played a primary role in re-organizing internal analytics wiki ### Data Science & Business Intelligence Intern @ Firstleaf Jan 2018 – Jan 2018 | Greater New York City Area - Prototyped and developed autoencoder-based clustering model to cluster Penrose’s current products, as well as performing feature analysis on the results for production purposes - Prototyped and developed multiple machine learning models across departments for predictive business intelligence - Played primary role in analyzing company data to prototype new Penrose customer rewards system - Left comprehensive introductory tutorial to machine learning with Penrose for current and future employees - Created and maintained Penrose's quarterly goal dashboard and regularly created dashboards for general business intelligence - Presented work and findings to the entirety of Penrose Hill ### Core Team Officer @ Business Association of Stanford Entrepreneurial Students Jan 2017 – Jan 2018 | Stanford University - Worked to bring in-organization and campus-wide entrepreneurship events to the Stanford community - Personally engaged with top Silicon Valley entrepreneurs and venture capitalists on weekly basis - Lead and mentored BASES freshmen on their professional development through the "Frosh Battalion" program ### Canvasser and Campaign Assistant @ Jon Applebaum Reelection Campaign 2016 Jan 2016 – Jan 2016 | Greater Minneapolis-St. Paul Area - Door-knocked 100s of Minnetonka area homes for my district's incumbent candidate for Minnesota State House of Representatives ## Education ### Bachelor of Science with Distinction in Computer Science Stanford University ### High School Diploma The Blake School ## Contact & Social - LinkedIn: https://linkedin.com/in/connor-quinn --- Source: https://flows.cv/connorquinn JSON Resume: https://flows.cv/connorquinn/resume.json Last updated: 2026-04-10