Gemini model post-training and data infrastructure

2024 (New York, NY)

Google Gemini

2018 - 2024 (New York, NY)

Google Assistant natural language processing / natural language understanding platform

2016 - 2018 (Mountain View, CA)

Google Assistant third party developer platform

• Develop and maintain large scale response prediction system for mobile ads, rewards, app installs, and videos – resulting in increased rate of user engagement and resulting revenue

• Build automated ETL pipelines for creation and maintenance of next generation data warehouse. Lead analysis projects using resulting data sets

• Maintain internal recommendation engine for advising clients on targeting parameters for ad campaigns

• Mentor junior data scientists and engineers on quantitative methods and data management. Advise product and business development teams on data matters

• Set research and development agendas for designing and implementing novel machine learning algorithms to optimize personalized marketing campaigns based on consumer interaction

• Build large-scale, parallelized data pipelines on top of Hadoop for processing high-dimensional data for millions of customers

• Report campaign findings to clients, present and lead internal discussions of research results, and interface between data science and client-facing product engineering team

• Developed web-based dashboard for analyzing and monitoring code quality for software projects related to smart energy grids and medical imaging equipment

• Successfully adapted existing software projects into the continuous integration and quality management framework

• Presented code quality analysis findings to developers to support various corporate projects