Anas Khan
Senior Software Engineer at Wayground (formerly Quizizz)
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolAnas Khan is a senior software engineer based in Bengaluru with 9 years of experience building scalable, cost-efficient backend systems for high-scale products. He has led architectural shifts—moving core game-state domains to MongoDB with Redis as a cache—and implemented pipelines that archived ~1B games and ~73B responses, materially reducing operational cost and index bloat. Comfortable shipping both user-facing AI features (student guidance, interactive video workflows, vector-based question recommendations) and low-level infrastructure (real-time Go backends, Redis caches, WireGuard VPNs), he blends product sensibility with systems engineering. His open-source work dates back to 2016 and spans building a Go HTML scraper inspired by BeautifulSoup and improving critical test coverage in numpy, reflecting a habit of contributing to both tooling and reliability. Colleagues rely on him for driving cross-functional delivery, mentoring, and measurable reliability improvements (socket success from ~80% to ~98%). He combines hands-on implementation with strategic technical direction, particularly in data lifecycle and real-time systems.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at PES UniversityHigh School, High School at DBMS English School
English, Hindi, Urdu
Stackoverflow
98reputation
8kreached
2answers
2questions
Github Skills (20)
python10
typed-array10
multidimensional-arrays10
testing10
arrayobject10
dynamic-array10
webscraping10
numpy10
go10
html-parsing10
golang10
parallel-arrays10
test-automation10
android6
image-viewer6
Programming languages (10)
Github contributions (5)
anaskhan96/soup
Feb 2017 - Jan 2022
Web Scraper in Go, similar to BeautifulSoup
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 releases, 1 review, 119 commits in 4 years 11 months
Contributions summary:Anas focused on developing the core functionality of a web scraper in Go, similar to BeautifulSoup. They implemented and refactored functions for retrieving web content (Get()) and parsing HTML (HTMLParse()). A significant amount of effort was dedicated to creating and improving the `Find()` and `FindAll()` methods, which are central to web scraping. The user also worked on extracting text from HTML elements and added the ability to find previous/next siblings, enhancing the project's web scraping capabilities.
beautifulsoupgowebscrapergolangwebscraping
numpy/numpy
Jan 2018 - Jan 2018
The fundamental package for scientific computing with Python.
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 1 PR, 2 comments in 2 days
Contributions summary:Anas primarily contributed to improving the testing framework of the `numpy` project. Their commits focused on adding new tests for the `union1d` function, verifying its behavior with various input scenarios, including masked arrays and multi-dimensional arrays. They also added references to related GitHub issues within the test files, linking their work to existing bug reports and feature requests. This demonstrates a focus on ensuring the reliability and correctness of the `numpy` library.
pythonscientific-computingnumpy
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