I'm Junaid — a full-stack engineer shipping AI-powered web products end-to-end. RAG pipelines, LLM integration, and production-grade Next.js.
A real RAG pipeline reading from my own projects, experience, and recognition — answers stream in, citations link straight to the work.
Ask me about my work — I’ll answer from my actual project dossier.
Streamed in real time · grounded in my projects, experience, recognition
I constantly try to improve
Engineer of choice for teams that need AI-native web products built like furniture, not flat-pack.
↳ End-to-end product delivery — design, code, ship, monitor.
↳ Production retrieval, embeddings, streamed generations.
↳ Typed APIs, vector stores, edge runtime.
↳ Comfortable across most working hours.
↳ Q3 capacity — taking briefs now.
↳ Even on weekends. No silent drafts.
↳ Brief-first engagements, async-friendly.
“Build the smallest thing that proves the idea. Then make it durable.”
Currently building production RAG & LLM pipelines for enterprise.
A short reel of recent work across AI, web, and mobile.
Where I've been, what I've been building.
Current
Aug 2025 – Present · Onsite, Pakistan. Build and integrate Retrieval-Augmented Generation (RAG) systems including embedding pipelines and model workflows. Train and fine-tune AI models, ship LLM-based features and streaming responses into live production apps.
Jan 2024 – Jul 2025 · Remote contract. Built full-stack apps and RESTful APIs, implemented Multi-Factor Authentication and CRUD workflows, integrated AI features and automation logic. Agile delivery across feature planning and production.
Aug 2023 – Dec 2023 · Onsite, Pakistan. Developed responsive UI components for a Laravel-React e-commerce platform. Implemented product listing, navigation, and checkout flows; integrated frontend with backend APIs.
Map the problem to the right pattern — RAG vs fine-tuning vs prompt engineering — and design retrieval pipelines, schemas, and integration points before any code lands.
Ship the system end-to-end: embedding pipelines, vector search, LLM streaming, full-stack workflows, and the integrations that connect them. Tight feedback loops with the product team.
Evaluate retrieval accuracy, monitor latency and cost, and iterate on prompts, indexes, and UX. Ship improvements that move real metrics.
Lahore Garrison University
Bachelor's degree in Software Engineering with a focus on full-stack and AI-driven systems.
Lahore Garrison University
Evaluated student projects at the G-TECH Hackathon hosted by LGU.
LGU SE-Tech Society
Mentored junior students in modern web development through LGU's SE-Tech Society.
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“Junaid shipped our RAG-powered search in under three weeks — chunking, retrieval tuning, streamed responses, the whole pipeline. Clear communication, sharp instincts, and the kind of engineer who actually finishes things.”
Sarah Khan
Product Manager · Acme Studio