✳ AI ENGINEERING

FULL-STACK DEVELOPMENT

I turn AI
into products
people use.

I build AI-powered products and full-stack applications—from intelligent agents to polished web experiences.

LET’S BUILD SOMETHING

COMPUTER SCIENCE STUDENT · PAKISTAN Scroll to explore

Rehan / builder overview CURRENTLY LEARNING & BUILDING

BUILDING IN PUBLIC

Ideas into software.

IN PROGRESS

FEATURED PROJECTS04Selected work

FOCUSAI + WEBLearning by shipping

APPROACHBUILDCuriosity to code

LEARNDESIGNBUILDSHIP

AI & LLMs Full-stack SystemsIllustrative learning path

LangChain✳Python✳RAG Pipelines✳Vector DBs✳Gemini API✳LLMs✳Next.js 14✳React✳FastAPI✳PostgreSQL✳TypeScript✳Node.js✳DSA✳OOP✳Git/GitHub✳Linux✳Docker✳Algorithms✳LangChain✳Python✳RAG Pipelines✳Vector DBs✳Gemini API✳LLMs✳Next.js 14✳React✳FastAPI✳PostgreSQL✳TypeScript✳Node.js✳DSA✳OOP✳Git/GitHub✳Linux✳Docker✳Algorithms✳

[ ABOUT REHAN ] 01—04

BIG IDEAS.
USEFUL SOFTWARE.

As a Computer Science student with a strong focus on Agentic AI and LLMs, I specialize in building intelligent, autonomous systems. I bridge the gap between traditional full-stack development and modern AI capabilities to solve complex real-world problems.

AI that does the work

Exploring agents, LLMs, and retrieval to turn prompts into useful outcomes.

Full-stack, end to end

From a polished interface to APIs, data, and the details that make a product work.

Systems that connect

Bringing models, services, and tools together into practical workflows.

Designed to be used

Clear, considered interfaces that make complex technology feel approachable.

More about my journey

[ HOW I WORK ] 02—04

From first idea
to shipped software.

EXPLORE

Understand the problem and the people using it.

DESIGN

Map the experience, data, and system boundaries.

BUILD

Turn the plan into a working product.

SHIP

Test, refine, and put it in people’s hands.

[ TOOLS I’M LEARNING & USING ] 03—04

PLUG INTO
EVERYTHING.

My toolkit keeps evolving as I build projects across AI, modern web, and computer science.

Rehan’s toolkit

LangChainPythonRAG PipelinesVector DBsGemini APILLMsNext.js 14ReactFastAPIPostgreSQLTypeScriptNode.js

LEARNING QUEUE

Machine LearningDeep LearningLLMsRAG SystemsAI AgentsVector DBs

NEXT OBJECTIVES

Build smaller, smarter systems
Ship one useful tool
Document every experiment
Make learning visible

04FEATURED PROJECTS

2+YEARS LEARNING

03AREAS OF FOCUS

∞CURIOSITY

[ SELECTED PROJECTS ] 04—04

GOOD IDEAS.
REAL PROJECTS.

A selection of projects that showcase my passion for building clean, robust, and scalable applications.

PROJECT / 01

Python / LangChain

Personal AI Employee

An advanced AI-powered assistant designed to handle various tasks and improve productivity.

PythonLangChainGemini AI

LIVE PROJECT SOURCE CODE

PROJECT / 02

Gemini AI / Docusaurus

Physical AI & Robotices

An AI-powered book authored using Gemini & Docusaurus. Features a RAG Chatbot (FastAPI, Neon DB, Qdrant) for real-time reader interaction, user personalization, and Urdu translation for accessibility. Includes secure authentication via better-auth.

Gemini AIDocusaurusFastAPINeon DBQdrantbetter-auth

LIVE PROJECT SOURCE CODE

PROJECT / 03

Python / CLI

idm-cli

A fast, CLI-based internet download manager built in Python that accelerates file downloads by splitting them into up to 32 concurrent chunks for maximum speed.

PythonCLI

LINKEDIN POST SOURCE CODE

PROJECT / 04

Next.js 16 / React 19

EvoTodo

An AI-powered task management app with a dashboard for task progress, goals, team activity, and agent actions. Gemini 2.5 Flash connects through MCP, with Better Auth for authentication.

Next.js 16React 19FastAPIPostgreSQLGemini 2.5 FlashMCPBetter AuthDocker Compose

LINKEDIN POST SOURCE CODE

RECENTLY SHIPPED

01EvoTodo02AI assistant03Responsive UI system

[ A FEW GUIDING PRINCIPLES ] THE WAY I BUILD

Good work
starts with curiosity.

01 / NOTE TO SELF“STAY CURIOUS”

Learning is part of the build. Keep asking better questions.

02 / NOTE TO SELF“MAKE IT USEFUL”

Start from a real problem and keep the experience clear.

03 / NOTE TO SELF“LEARN BY SHIPPING”

Build a small slice, share it, then make it better.

[ OPEN TO COLLABORATION ] LET’S MAKE IT USEFUL

THE RIGHT BUILD
FOR YOUR IDEA.

Have a project in mind? Here are a few ways we could explore it together.

AI & LLM BUILDS

Prototype an AI feature, connect a model, or explore a retrieval workflow.

WEB EXPERIENCES

Shape a clear, responsive interface around a useful product idea.

FULL-STACK PROJECTS

Bring frontend, backend, and data together into a complete build.

[ QUICK ANSWERS ] FAQ

Questions
we get a lot.

What are you focused on right now?

I’m studying computer science and building projects around agentic AI, LLMs, and full-stack development.

What technologies do you work with?

My current toolkit includes LangChain, Python, RAG Pipelines, Vector DBs, Gemini API, LLMs, Next.js 14, React and more.

Can I see the source for your projects?

Yes. Each project links to its GitHub repository when the source is public.

How can we get in touch?

Use the contact page or email me at rehanjamilwattoo@gmail.com.

Ready when
you are.

HAVE A GOOD IDEA? LET’S TURN IT INTO SOMETHING REAL.Get in touch