GenAI Quality lead focusing on Gemini post-training to enhance Search capabilities.

Machine learning engineer working on the research, development and deployment of the query understanding model for Google Search. We work on capturing the massive improvements in large language models into a massive-scale production environment that runs on every Google query. Responsible for the development of neural semantic parsing techniques for horizontal application across all of Google's search use cases.

Worked on the development of new text-to-speech neural models. Worked primarily on the representation of sentiment and emotion in neural models for use in synthesizing state of the art text-to-speech across all of Google's product suite (primarily assistant and Google cloud's 3rd party offerings).

Teaching assistant for Foundations of Software Engineering. Mentoring multiple teams through a semester-long project with emphasis on robust software development practices.

Working across multiple teams in AI infrastructure. Focussed primarily on Neural Architecture Search and efficient neural network inference on embedded and mobile devices.