I'm a Computer Science student and developer who enjoys taking ideas from a rough concept to something people can actually use.
I work mainly across React, Node.js, TypeScript, Python and AI/LLM systems, with a particular interest in AI-powered products, automation and developer tools.
Currently, I'm working on AI-driven workflows and backend systems at Neura, while continuing to build and experiment with my own products and projects.
- 🤖 AI-powered applications — LLM integrations, AI workflows, agents and automation
- 🌐 Full-stack products — React/Next.js frontends with Node.js/Python backends
- 🧠 ML systems — experimentation, data processing, classification and prediction
- 🛠️ Product-focused software — I care about the UX and the actual problem being solved, not just the code
AI / EdTech Startup
Worked on improving and expanding the product, including adding new modules and significantly improving the overall platform.
What I worked on:
- Added and improved product modules
- Improved the overall website and user experience
- Tested and monitored changes across the platform
- Worked on AI-driven workflows and backend systems
- Contributed to turning product ideas into working features
🔗 Website: Neura
E-commerce · Astro · Alpine.js · Firebase
A perfume e-commerce website I built and deployed as a real product.
Built with:
- Astro
- Alpine.js
- Bootstrap
- Firebase Firestore
- Vercel
Highlights:
- Product browsing and cart functionality
- Firebase-backed product data
- WhatsApp-based ordering flow
- Responsive product experience
- Production deployment and debugging across browsers
🔗 Live: https://roohveere.com 🔗 Code: GitHub Repository
Python · Flask · MongoDB · Machine Learning
A financial analytics application combining traditional software development with machine learning.
Built with:
- Python / Flask
- MongoDB
- Scikit-learn
- Pandas / NumPy
ML components include:
- Linear Regression for forecasting
- KMeans clustering
- Data preprocessing pipelines
- 🧠 Building and experimenting with AI agents, LLM workflows and AI-powered applications
- 🌐 Working on full-stack applications and product development
- 📚 Learning more about agentic AI, distributed systems and software architecture
- 🧪 Experimenting with new AI tools and figuring out where they actually make products better
Hackathons are one of my favourite environments.
I enjoy taking a vague idea, figuring out what is actually worth building, and getting a working prototype deployed within a very short time.
Idea → Build → Break → Fix → Ship
Building things, learning fast, and trying to make useful software.