John Wick
@johnwick4
Software engineer building intelligent, natural-language features for Google Workspace editors.
United StatesWhat I'm looking for
I’m a Software Engineer (Level IV) at Google, currently working on Keep, a notetaking editor in Google Workspace. I focus on creating user-facing experiences that feel fast, reliable, and genuinely helpful.
Previously, I developed intelligent features for Google Workspace Editors (Docs, Slides, Keep) using client-side software expertise and natural language processing infrastructure. I used Web Assembly and Emscripten, along with Google-internal technologies like j2Cl and client-side cross-platform frameworks, to ship capabilities such as spellcheck in encrypted documents for five languages and writing style suggestions for English text.
I’m comfortable owning end-to-end technical designs, driving cross-team collaboration, and upholding software reliability practices. I also lead technical-debt resolution and documentation, and I proactively identify areas of future work—so teams can scale sustainably.
Beyond engineering, I’ve built strong NLP foundations through a Master’s thesis on paraphrase generation with a bilingual model and continuous embeddings, and earlier research on cognitive approaches to natural language processing. I’ve also supported learning as a Natural Language Processing teaching assistant, designing assignments, presenting key algorithms, and mentoring pairs of students on research projects.
Experience
Work history, roles, and key accomplishments
Worked on Keep, a notetaking editor in Google Workspace, developing user-facing features for Workspace editors.
Software Engineer, Level IV
Google India Pvt Ltd
Aug 2020 - Nov 2022 (2 years 3 months)
Developed intelligent features for Google Workspace editors (Docs, Slides, Keep) using client-side software, supporting tools/libraries, and NLP infrastructure.
Course Teaching Assistant
Indian Institute of Technology Madras
Jan 2020 - May 2020 (4 months)
Designed and evaluated theoretical and practical NLP assignments, delivered lectures on edit distance and the CYK algorithm, and mentored student research projects.
Master’s Thesis
Carnegie Mellon University
Sep 2019 - May 2020 (8 months)
Conducted research on paraphrase generation using a transformer network with von Mises-Fisher (vMF) loss, showing improved paraphrases versus a log-likelihood model using bilingual data for zero-shot paraphrasing.
Software Engineering Intern
Google India Pvt Ltd
May 2019 - Jul 2019 (2 months)
Worked on Google Docs text auto-correction by building UI control options (undo/feedback) and a logging framework for the editors client-side infrastructure.
Research Intern
Big Data Experience Labs, Adobe Research
May 2018 - Aug 2018 (3 months)
Developed a mobile application for Text to Scene Conversion in augmented reality, predicting 3D object sizes and positions from textual features.
Research Intern
Indian Institute of Science (IISc)
May 2017 - Jul 2017 (2 months)
Developed a cognitive text parser combining syntactic and semantic approaches to produce cognitive structural representations for downstream NLP feature extraction.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Madras
Dual Degree (B.Tech + M.Tech), Computer Science and Engineering
2015 - 2020
Grade: CGPA: 8.78
Completed a Dual Degree (B.Tech + M.Tech) in Computer Science and Engineering at IIT Madras, graduating with a CGPA of 8.78.
KLE Society’s Independent PU College
XII (Karnataka Board)
Grade: 97.30%
Completed XII (Karnataka Board) with 97.30%.
B P Indian Public School
X (ICSE)
Grade: 96.33%
Completed X (ICSE) with 96.33%.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Website
monisha-jega.github.ioJob categories
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