Rohan Chugh
Software Engineer @ Instructure | CS @ UT Austin
- Role
- Software Engineer at Instructure
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Rohan Chugh
I\'m a software engineer with experience building and scaling production-grade…
Experience
Software Engineer
May 2023 — Present · Austin, TX, US
View my GitHub commits for code samples here: https://github.com/instructure/canvas-lms/commits?author=rohanchugh14Full-stack development experience spanning frontend (React, TypeScript, HTML5, CSS3) and backend (NestJS/Node.js, Express, REST APIs, GraphQL), ensuring end-to-end feature-flagged delivery of scalable features for millions of daily Canvas LMS users across the world. Deployed features in a large-scale, high-availability environment using microservices in Docker/Kubernetes (AWS EKS), with infrastructure-as-code via Terraform and CI/CD pipeline automation. Developed with PNPM, Yarn, and Webpack as well as state management via ZustandParticipated in a strategic overhaul of an essential screen reader optimized application page, assisting in the replacement of Handlebars and Ember.js with a modern, SPA-style React and TypeScript implementation, contributing to an 80% speed improvement while maintaining WCAG accessibility compliance for one of our most visited pages used for grading studentsApplied web app security best practices, including JWT-based auth and role-based authorizationIndependently identified a performance issue with a search functionality, led cross-team communication to propose a solution, and spearheaded its transformation into an efficient GraphQL query with cursor pagination, reducing response time from 45 seconds to less than a second.Authored and implemented comprehensive test suites using RSpec, Selenium, and Jest to reinforce software reliability and quality. Developed 3 backend AI-centric services for use across our customer-facing products, such as a RAG smart search feature capable of ingesting documents and Canvas courses, a notes storage and lookup application, and an AI Prompt passthrough application, utilizing NestJS, AWS Bedrock, and message queuing via AWS SQS while keeping scalability in mind via containerized deployments using AWS EKS (Docker and Kubernetes) and maintaining infrastructure using Terraform
Education
George Ranch High School
High School Diploma
The University of Texas at Austin
Bachelor of Science - BS, Computer Science
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