Monil Nisar
Software Engineer SRE at Google
California, United States
Summary
👤
Senior🎓
Top SchoolMonil Nisar is a Software Engineer 2 based in California with nine years of experience building secure, scalable backend systems and ML tooling. At Google he works on Context Aware Access for Enterprise Workspace, enforcing privilege checks before resource access, and previously improved MLE productivity and deployed cost-saving optimizations in research and production settings. His projects span automation, parallelized Monte Carlo simulations, and memory-efficient ML training—once reducing a model's memory footprint from 180GB to 32GB—reflecting a practical focus on performance and cost. An active contributor to backend-focused open-source work, he added Wikipedia search integration to a bots-and-web toolkit, showing aptitude for API integration and content parsing. He holds a Master's in Computer Science from Arizona State University and a BE in Computer Engineering, combining strong academic foundations with hands-on systems and security experience.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Arizona State UniversityBachelor of Engineering (BE) Computer Engineering, Bachelor of Engineering (BE) Computer Engineering at Vishwakarma Government Engineering College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
scrape10
scraper10
api10
python10
webscraper10
webscraping10
data-scraping10
wikipedia10
screen-scraping10
bots8
Programming languages (4)
Github contributions (5)
Python-World/Python_and_the_Web
Oct 2020 - Oct 2020
Build Bots, Scrape a website or use an API to solve a problem.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 1 PR, 1 issue in 1 day
Contributions summary:Monil focused on adding a Wikipedia search feature to the project, likely leveraging the `wikipedia` library. Their contributions primarily involve developing the functionality to parse and traverse Wikipedia content based on user input. The user's work integrates external APIs, indicating a focus on backend logic and data retrieval. The commits include modifications to the `main.py` file, which manages the user interface for the search functionality.
scrapepythonscraping-websitesapibots
MNISAR/Clinical-Entity-Normalization
Oct 2020 - Feb 2021
Contributions:30 commits, 20 pushes, 1 branch in 4 months
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