MF
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BuildingSoftwarethat ships.

Mohammed Fawzaan

I turn ambitious ideas into thoughtful digital products — from full-stack applications to intelligent systems.

Explore work Résumé
Mohammed Fawzaan

Current focus

AI Engineering

Engineer mode

Idea → Production

Selected work / 02

Products, not just projects.

A selection of full-stack, mobile, and AI systems—presented through the problems they solve and the engineering behind them.

Case study / 01Built by MF
Product preview
01Next.js

AI Career Pilot

Helps students discover career paths and prepare using AI-driven insights.

AI Career Pilot is a comprehensive, AI-powered platform designed to supercharge your career journey. By leveraging Google's Gemini LLM and advanced career assessment algorithms, it helps users discover their ideal career path, build professional resumes, generate tailored cover letters, find internships, and practice mock interviews with real-time AI feedback.

  • Career discovery engine with a short assessment
  • AI-based career & skill recommendations
  • Location-based internship search
  • Personalized roadmap generation
Next.jsNeonDBPostgreSQLPrisma ORMShadCN UITailwind CSSGoogle Gemini API
Source codeView product
Case study / 02Built by MF

Friday

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02Electron

Friday — Desktop AI Agent

Transforms natural-language requests into real actions across a user’s desktop.

Friday is a local AI desktop agent that goes beyond conversation. It interprets text or voice commands, chooses the right tools, and performs multi-step actions across files, applications, terminal workflows, and the desktop interface.

  • Natural-language desktop automation through an agentic tool-calling loop
  • Voice input, Gemini-powered transcription, and spoken responses
  • File, terminal, application, process, clipboard, mouse, and keyboard tools
  • Short-term conversational context for connected multi-step requests
ElectronReactViteNode.jsLangChainGoogle Gemini 2.5 Flashnut.jsZod
Source code
Case study / 03Built by MF
Product preview
03MERN Stack (MongoDB, Express.js, React.js, Node.js)

Ride Booking Web Application

Enables real-time ride booking and tracking similar to Uber.

A full-stack Ride-booking application inspired by Uber. Built with the MERN stack and Google Maps APIs, RideNow enables users to book rides in real time while captains (drivers) accept and complete trips. It features live tracking & real-time navigation, OTP-secured confirmations and a modern responsive UI.

  • Real-time ride booking
  • Real-time ride & location tracking using Google Maps
  • Interactive UI with animations
MERN Stack (MongoDB, Express.js, React.js, Node.js)Tailwind CSSGSAPGoogle Maps APISocket.io
Source code
Case study / 04Built by MF
Product preview
04MERN Stack

Virtual Chemistry Lab

Provides a safe virtual environment to perform chemistry experiments.

Virtual Chemistry Lab is an interactive web-based platform that allows students to perform and visualize chemistry experiments in a simulated environment. It aims to enhance conceptual understanding through hands-on virtual experimentation without the need for a physical lab.

  • Chemistry experiments included such as distillation, titration, salt-analysis
  • Live experiment simulations
  • Dashboard for data insights
  • Beautiful and responsive UI
MERN StackTailwind CSS
Source codeView product
Case study / 05Built by MF
Product preview
05React Native

AI Cookbook Mobile Application

Helps users generate recipes instantly using AI.

CookBook AI is a feature-rich React Native app that leverages Google Gemini AI to instantly generate complete recipes from a user-provided dish name. Users can authenticate with Google via Clerk, browse recipes by category, explore the full global recipe feed, and manage their personal recipe collection — all with a beautiful dark/light theme toggle.

  • AI-generated recipes & images
  • Search and filter meals
  • Mobile-first UI/UX
  • CMS-based content management
React NativeExpoTailwind CSS (NativeWind)Strapi CMSGoogle Gemini API
Source code
Case study / 06Built by MF
Product preview
06Next.js

RAG PDF Chat Pipeline

Enables intelligent conversations with PDF documents using semantic search and LLMs.

A high-performance, production-ready Retrieval-Augmented Generation (RAG) system with a distributed architecture. Users can upload PDF documents and instantly chat with them — the system asynchronously processes documents using a BullMQ worker queue, stores semantic vector embeddings in Qdrant, and generates grounded answers with source citations using Google Gemini 2.5 Flash via LangChain. Secured with Clerk authentication and deployed with Docker.

  • Asynchronous PDF ingestion via BullMQ and Redis queue
  • Semantic vector search powered by Qdrant
  • AI answers with automatic page-level source citations
  • Secure user authentication with Clerk
Next.jsNode.jsExpress.jsBullMQRedisQdrantLangChainGoogle Gemini APIClerkDockerTailwind CSS
Source codeView product
Engineering stack / 03

Tools chosen with intent.

A broad, practical stack for taking products from interface and application logic through data, infrastructure, and intelligent automation.

30+Technologies
04Systems

Product interfaces

Web, mobile & desktop

Responsive interfaces and cross-platform product experiences.

JavaScript
TypeScript
React.js
Next.js
React Native
Expo
Vite
Electron
Tailwind CSS
ShadCN UI

Backend systems

APIs & application logic

Reliable services, APIs, and strongly structured application logic.

Node.js
Express.js
NestJS
Java
Python
C/C++

Data & infrastructure

Persistence, delivery & scale

Data layers and infrastructure for dependable production systems.

PostgreSQL
MySQL
MongoDB
Redis
Prisma ORM
TypeORM
Docker
Nginx
Git

Applied intelligence

Agents & AI products

LLM workflows grounded in useful, real-world product behavior.

LangChain
LangGraph
Gemini SDK
Claude SDK
RAG
QdrantDB
Milestone 01 May 2026 - Present

Software Engineer

Current role
  • 01

    Building backend APIs using NestJS

  • 02

    Working with databases like MySQL

  • 03

    Managing VPS deployments on DigitalOcean

  • 04

    Developing mobile applications using React Native and Expo

Career progression

Promoted from Software Development Intern into Software Engineer

Milestone 02 Dec 2025 - May 2026

Software Development Intern

Starting point
  • 01

    Supporting day-to-day feature development and implementation

  • 02

    Building responsive product interfaces with React.js

  • 03

    Assisting with API integrations, debugging, and testing

  • 04

    Collaborating with the team on code reviews and deployment workflows

Continuing the journey at Managix Technology Services LLP
Education / 05

Built on fundamentals.

Practice / 06

Proof of consistency.

Problem solving, public code, and the quiet repetition behind stronger engineering judgment.

Résumé / 07

The concise version.

A focused overview of my engineering experience, education, projects, and technical capabilities.

Open résumé
Resume.pdf
Contact / 08

Let's makesomethingmatter.

Have a role, product, or difficult engineering problem in mind? I'd be glad to hear about it.

fawzaanmd31@gmail.com +91 9676237158LinkedIn