Full-Stack Software Engineer in the Youtube Memberships team.

Worked in Facebook AI Research London.
- Contributed to the building and testing of the TorchBeast Distributed Reinforcement Learning system (paper).
- Contributed to the development of the new NetHack Reinforcement Learning environment (paper).
- Built analytics tools to support AI researchers.

Designed and built a full stack, AWS-based web application to support the job of Standard Ethics analysts.
- Database and backend contain sensitive information and proprietary rating algorithms.
- The system provides authentication mechanisms, and multiple levels of access to data and services.

Worked in the Google Assistant Suggestions team.
- Built Trending Suggestions: used Google Search data to generate suggestions about trending topics.
- Improved quality of Suggestions for non-English languages.
- Created internal tools and improved infrastructure.

Feasibility study for an Optical Character Recognition (OCR) based application.
Created a tool that performed OCR readings with three different C++ libraries and compared their performances.