Computer Science student at FAST-NUCES, Peshawar (expected 2028), building full-stack web applications and applied AI tools with Python and React.
Open to paid remote internships and junior opportunities in full-stack development and applied AI engineering. Based in Pakistan.
| Project | What I built | Stack |
|---|---|---|
| PDF RAG Workspace | Document uploads, authenticated APIs, semantic retrieval, and streamed answers grounded in PDF text | React, FastAPI, PostgreSQL/pgvector, MiniLM, Groq |
| DistribuQueue | PDF rendering workers and a live dashboard, with idempotency, retries, monitoring, and a local Kubernetes demo | React/TypeScript, FastAPI, PostgreSQL, Redis/SAQ, Docker, KEDA |
| Adaptive AI Study Coach | A diagnostic-to-practice workflow with semantic retrieval, generated questions, and deterministic grading | FastAPI, FAISS, SentenceTransformers, Gemini, MLflow |
Try the hosted PDF workspace · Rate limiter visualizer
- Languages: Python, JavaScript, C++
- Web: React, FastAPI, REST APIs, JWT authentication, WebSockets
- Data and AI: PostgreSQL, pgvector, Redis, FAISS, embeddings, RAG, LLM APIs
- Delivery: Git, Linux, Docker, GitHub Actions, Azure; local Kubernetes/KEDA
I focus on making applications usable end to end: frontend behavior, API contracts, persistence, failure handling, and tests. My applied AI projects combine retrieval and generation with explicit application logic.
Outside coding, I enjoy books and films.

