Automation Tester & Marketing Specialist & Product Manager

The candidate is a Software Engineer with experience in developing intelligent features for Google Workspace Editors. They have a strong educational background with a dual degree in Computer Science and Engineering. The candidate has also worked on research projects related to natural language processing and has publications and patents in the field. They have expertise in frontend tools and technologies, and have led projects on paraphrase generation and cognitive text parsing.

Dec 2022 - Present As a Software Engineer, currently working on Keep, a notetaking editor in a productivity suite.

Aug 2020 - Nov 2022 Developed intelligent features for productivity suite Editors using frontend tools like Web Assembly and Emscripten.

May 2019 - July 2019 Worked on developing a user interface for a text auto-correction feature.

May 2018 - July 2018 Developed a mobile application for Text to Scene Conversion in Augmented Reality.

Sep 2019 - May 2020 Machinated a novel technique for paraphrase generation using a bilingual model as part of Master's Thesis.

May 2017 - July 2017 Developed a cognitive text parser for NLP tasks.

Projects Formulated graph-based deep neural models for Extreme Summarization in one project.

Implemented risk-sensitivity methods for stochastic bandit problems in another project.