
Azib Farooq

Contributed to software development and code-level troubleshooting of 10 languages supported code editor, served
over 1500 users, and achieved zero downtime along with zero production crashes.
Designed AlgoSense, a Machine Learning based code assistant, to detect and fix real-time syntax and semantic
coding errors, improved user retention by 60%.
Contributed to the development and testing of a robust relational database schema, storing coding solutions in 10
supported languages, complete with driver code, templates, and test-cases.
Engineered and integrated a robust communication pipeline, seamlessly merging a messaging service with code
editor and Slack, automating real-time status updates in respective channels, resulting in a 40% increase in team
efficiency and streamlined collaboration.
Led end-to-end software development life cycle of BaseCase, an AI chatbot for software system design education,
resulting in a Y-Combinator pitched prototype with AI-driven Socratic-style teaching capabilities.