GenAI Ranking

• Managed the product recommendations team to develop personalized candidate generation and scoring models

• Built a transformer-based large scale product recommendation model using state-of-the-art NLP techniques.

• Researched, developed, AB tested, and deployed to product the Time Informed Calibration Python package, which uses time series models to improve the predictions of probabilistic and regression models.

• Developed software, applications, and AB tests for the Share of Voice platform, which uses optimization algorithms to balance marketing spends between established and emerging product categories.

• Led the integration of workflows between the SWE and DS teams to produce a model auto-retraining platform.

• Collaborated with engineering and analytics teams to develop an application that identifies potential new customers using natural language processing, XGB, and neural network models

• Supported team product discovery and software development efforts leveraging technologies including Google Cloud (including Google Bigquery), Hive, Spark, Airflow, Mamba

• Analyzed regional impacts of solar geoengineering using machine-learning and statistical methods to optimize design of aerosol injection strategies

• Interviewed top climate scientists and policy makers in China and the US to compare views towards geoengineering. Analyzed interview scripts using natural language processing methods to identify beliefs.

• Analyzed impacts of LEED standards on building energy use in 10 US cities using statistical and ML methods

• Conducted lab studies and built box models on chemistry of solar geoengineering related to ozone loss

Collaborated with engineering and analytics teams to develop models that identify potential new customers

Improved existing customer-needs model performance by developing features in Hadoop and Spark

Developed machine learning models to evaluate the effectiveness of third-party dataset (billions or rows daily) to improve customer targeting in marketing campaigns

• Introduced reactive gas in microcavity plasma devices to generate chemical fuels

• Characterized reaction products with mass spectrometry and IR spectrometry