Led the development of search and recommendation systems for advertising, including retrieval, ranking, and bidding. Managed deep learning models for product embeddings, CTR/CVR prediction, NLP transformers, and visual generative AI.

Oversaw ML and data operations for Goldbelly, enhancing search ranking models, multi-modal embeddings, and demand forecasting. Developed a personalized search and recommendation system, resulting in increased conversions. Fostered a data-centric culture, mentoring and expanding the data science team.

Led data and engineering efforts at Risalto Health; focusing on both data infrastructure, and models for provider scoring and patient risk prediction. Developed a DNN transformer-based platform for medical event prediction and built a robust data platform for analyzing medical billing data. Ensured HITRUST and SOC2 compliance.

Built, led and grew a team of engineers with expertise across data, backend, frontend, and mobile. Oversaw a full-stack engineering team responsible for creating a consumer-facing application based on medical billing and electronic medical record data. Key achievements and highlights include the development of a full-stack patient-facing application, including an iOS app, a react website, scala backend services, and a compliant hosting infrastructure, as well as the implementation of a machine learning framework for categorizing medical events across medical billing and EMR data

Built, led and grew multiple teams of talented engineers and data scientists.

Led ML and data infrastructure, developing CTR and CVR models, search retrieval systems, and recommender systems. Achieved significant revenue lift through advanced ML models. Built and managed data science teams, making it a core revenue driver.

Spinsoft was a startup aimed at better surfacing and displaying data on mobile platforms• Worked with fellow co-founders on defining the product, strategy and business plan • Designed a framework for better Wikipedia user experience on mobile clients

Worked on the Yahoo Sponsored Search team and then the Yahoo Labs teams with a focus on Sponsored Search and then Display Advertising.• Worked heavily with the map-reduce framework (Hadoop) on large clusters (thousands of nodes and petabytes of data).• Contributed to designing and building a prototype for the next generation display advertising platform at Yahoo, specifically focusing on how to automatically set the minimum bid needed for real time advertisement auctions• Improved, analyzed and designed implementations of economic models for the search advertising platform that provided substantial revenue gains (hundreds of millions) for the company. These focused on optimizing the minimum bid that advertisers must provide to have their ads shown on a keyword. Worked on and contributed to all steps of this product's design and implementation• Designed statistical models to automatically adjust bids for advertisers between publisher sites to account for differences in performance• Created tracking and analysis tools to quickly and automatically gauge performance and pinpoint problems• Designed search term categorization methodology that has been incorporated into multiple projects and was used throughout the company