• 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

• 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

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.

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.