SDE Intern @ Fynite AI · CS @ DePaul University
Software engineer interning at Fynite AI — building AI-powered workflow automations across the full stack, integrating APIs, and test-engineering features so they hold up in production.
// About
I'm a Computer Science student at DePaul University (Software Development concentration) in my first internship at Fynite AI, where I build AI-powered workflow automation for an enterprise platform. I work across the stack — React on the front, Node.js and REST APIs on the back — and I take testing seriously: Postman API suites, Jira-tracked Agile sprints, and validating features end-to-end in the test environment before they ship.
// Experience
Workflow automation · API integration · Test engineering
Fynite builds an enterprise AI platform that automates business workflows — connecting data across 1,400+ business systems so AI agents can analyze, decide, and act with minimal manual work.
Full-stack · Backend · QA / Test engineering
// How I work
The loop I run on every feature — at Fynite and in my own projects.
Break the feature into clear Jira tickets and agree on the API contract — endpoints, payloads, edge cases — before any code gets written.
Develop Node.js services and REST endpoints. At Fynite, these power workflow automations that move real enterprise data.
Build the React UI against the live API — handling loading, error, and empty states so the feature feels solid, not just functional.
Run Postman suites and end-to-end checks in the test environment, then ship through the Agile sprint and watch it in the wild.
// Projects
Each project below has a live interactive demo built into this page — the same concepts, miniaturized.
A fault-tolerant job queue with worker-based architecture, automatic retries, and dead-letter queues. Concurrent execution across workers cut processing time by ~30% under simulated load.
Live simulation — watch tasks flow through the system
Event-driven multi-user whiteboard built on WebSockets, with <100ms live synchronization, undo, and board history replay — handling 50+ real-time events per second across clients.
Live canvas — draw below while "Echo" (a simulated collaborator) draws with you
0 draw events synced · 0 events/sec
An AI-powered tool that analyzes GitHub repositories and generates structured summaries of architecture, tech stack, and key features — cutting analysis time by ~40% across 50+ repos.
Demo analysis — pick a repo to generate a summary
// Skills
// Education
Concentration in Software Development · Aug 2022 – Jun 2027 · Chicago, IL. At DePaul I focus on writing solid, well-tested code — building course projects in Java and Python and applying what I learn directly to internship work.
Awarded the State Scholar Plus Scholarship — $100,000 over four years ($25K/year) — for outstanding academic performance and extracurricular involvement.
// Now
Building workflow-automation features and API integrations on an enterprise AI platform, sprint by sprint.
Working through Design & Analysis of Algorithms and Computer Systems — and applying both directly at work.
Lining up my next software engineering internship — Summer 2026 and beyond — and sharpening DSA daily.
// Contact
I'm open to software engineering internships, new-grad opportunities, and interesting projects. The fastest way to reach me is email — I reply quickly.
masroorahmed4021@gmail.com