Nathan began at Google NYC in 2015 as an ad-tech technical expert between sales and engineering. He then became a technical standout in Google's prestigious APMM program within the Marketing Research Team. He moved to SF and was promoted to a Research Scale and Automation Lead, specializing in data engineering.
He transformed billions to trillions of rows of behavior data for research, ML based insights and full stack UIs. Today, as the technical founder of Steeped AI, he is manifesting his dream of building his own product with a relentless passion for innovation.
Nathan developed a self-service system that aggregated Google search logs and became the official search source for Google Ads Marketing activations.
The system condensed 100s of billions in search volume to 3B unique phrases weekly, sorted by factors via algorithm on an UI.
Nathan led the development of a Google official internal full stack web app, ClaimsRepo (VueJS frontend, PY Flask backend, CloudSQL database).
Features include OAuth login, real-time claim updates users can save, ML based annotations and exportable claims to polished G Slides/ Sheets.
Tanisha brings a blend of behavioral research expertise and passion for breaking down barriers in technology. She has a psychology background and extensive experience with academic research and statistical analysis.
Previously, Tanisha was a project manager for a non-profit that led the creation of a community makerspace, providing free access to modern tech and educational programs. Her commitment to simplifying complex stats and research has shaped Steeped AI to be accessible to anyone ready to apply its insights.
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