CS student at NED University, building across backend, AI/ML, and DevOps.
I like understanding how things work under the hood. Build it from scratch, break it, fix it, make it better. Most of what I do sits where the whole pipeline meets rather than inside a single stack:
Idea → Backend → AI/ML → Database → API → Docker → CI/CD → Deployment
- 🔭 Building DevHub, a developer platform with project analysis and AI career tooling
- 🌱 Going deep on Kubernetes, System Design, MLOps, and RAG systems
- 🧩 Grinding DSA and competitive programming on the side
- 🤝 Outside code: team leadership, research, and community projects
Languages
AI / Machine Learning
Backend & Web
DevOps & Tools
Currently Exploring
| Project | What it does | Stack |
|---|---|---|
| IssuePilot | AI bug triage that predicts issue priority, tags components, and surfaces similar issues | FastAPI, React, Scikit-learn |
| Spam Detector | NLP SMS classifier using TF-IDF and Random Forest | Scikit-learn, Streamlit |
| DSA Visualizer | Interactive visualisation of data structures and algorithms | JavaScript |
| DevHub (building) | Developer platform: profiles, project analysis, AI career tools | FastAPI, React, PostgreSQL, LLMs |
| | |
Currently drilling graphs, dynamic programming, and binary search patterns.
