I’m a Computer Science student at Simon Fraser University who likes building polished full-stack products and making the backend feel as clean as the frontend.
What makes me different: I care about the engineering feel of a project. Not just “does it run?”, but also:
- is it scalable?
- is it understandable a month later?
- is the user experience smooth?
- does the system feel reliable?
That’s the kind of work I’m chasing.
[ OK ] Core language modules loaded: Java, Python, JavaScript, C++
[ OK ] Full-stack mode enabled: React + Node.js + Express + MongoDB
[ OK ] API engineering package installed
[ OK ] Cloud and automation tools connected
[ OK ] DSA problem-solving engine warmed up
[ OK ] Current objective: build useful things, level up hard, stay curious
Most GitHub profiles list tools.
I wanted mine to feel like a developer lab.
So this profile is designed like a mini system interface:
- a custom animated banner
- a personal “boot sequence”
- a developer radar
- dynamic GitHub widgets
- contribution snake animation
- a clean recruiter-friendly structure underneath all the flair
It’s creative, but still professional.
| Layer | Stack |
|---|---|
| Languages | Java, Python, C++, JavaScript, Bash |
| Frontend | React, HTML, CSS |
| Backend | Node.js, Express, REST APIs, Authentication |
| Database | MongoDB, SQL |
| Cloud / DevOps | GCP, Linux, CI/CD, Docker |
| Core CS | DSA, OOP, System Design, Distributed Systems |
- 🔨 Building with a full-stack mindset
- ⚙️ Interested in backend systems and scalable app design
- ☁️ Comfortable with GCP, automation, Linux, and deployment workflows
- 🧩 Solved 80+ LeetCode problems
- 📈 Always trying to improve code quality, performance, and structure
A full-stack MERN application that serves interactive country facts in a clean user experience.
Because it mixes a few things I enjoy:
- frontend presentation
- API design
- data modeling
- AI integration
- deployment and production thinking
- React frontend with interactive country-based content
- Express + Node.js backend with REST APIs
- MongoDB for data storage
- Google Gemini API integration for automated content generation
- Production deployment with environment-based configuration
Tech used:
MongoDB Express React Node.js Gemini API
I like solving problems across:
- arrays
- trees
- graphs
- heaps
- dynamic programming
- time / space optimization
cloud.sync() → GCP
logs.monitor() → reliability mindset
deploy.pipeline() → CI/CD exposure
shell.power() → Linux + Bash
containers.init() → Docker basics
