AI engineer and Flutter developer. I build RAG-powered agents, LLM features and automation workflows, plus cross-platform Android and iOS apps with Firebase, clean BLoC architecture, Stripe, maps and OAuth.
AI AGENTS AND CROSS-PLATFORM FLUTTER APPS, WIRED INTO REAL BACKENDS
Agents that answer customers, take orders and qualify leads, built with LLMs, RAG over your own data, and n8n workflows connected to your CRM and messaging channels.
Full apps built on Flutter with BLoC or MVVM architecture — real-time data, authentication, and file storage handled through Firebase, shipped to Android and iOS from one codebase.
LLM features, Stripe checkout, Google Maps and OAuth 2.0 connected to secure backend APIs, handling requests, responses and error states so the app stays stable in production.
COMPUTER SCIENCE, COMSATS UNIVERSITY ISLAMABAD — CLASS OF 2025
Computer Science graduate building AI systems and cross-platform mobile apps with equal focus. On the AI side: RAG agents, LLM features, n8n automation, NLP pipelines in Python, and trained models for real-world prediction. I hold a DataCamp certification as an AI Engineer for Data Scientists.
On the mobile side I build end to end in Flutter, with Firebase for auth and data, REST APIs for connectivity, and Stripe and Google Maps integrations wired into clean, maintainable code.
Two internships gave me hands-on time shipping both: LLM models and payment gateways inside Flutter apps, and Firebase across app features, using BLoC and MVVM on real, production apps.
AI AGENTS AND FLUTTER, WITH THE INTEGRATIONS THAT MAKE AN APP FEEL FINISHED
TWO INTERNSHIPS, FLUTTER FOCUSED, SHIPPED FEATURES
THREE AI & AUTOMATION BUILDS, SIX MOBILE BUILDS
A real-time Flutter chat app where users message each other by unique ID, with an AI auto-reply feature that learns a user's writing style and responds to incoming chats in that style.
An AI agent that replies to customers on WhatsApp for deals, food ordering, and table reservations, using RAG to answer open-ended questions about the menu and policies.
An artificial neural network that classifies DNA sequences as healthy or diseased at over 85% test accuracy, with class-imbalance handling and a standalone real-time prediction script.
A deep learning model that estimates the likelihood of a genetic abnormality in a child from both parents' DNA profiles, with results plotted in Matplotlib to check behaviour across inputs.
A student panel for marking attendance and applying for leave, and an admin panel for approving leave, editing records, and exporting reports, with grades calculated automatically.
Spotify OAuth 2.0 handling authentication and token refresh, with a real-time search feature that queries the Spotify Web API and displays track details.
Live location tracking, custom markers, and best-route drawing between two selected points using the Google Maps SDK in Flutter.
Stripe payment support connected to secure backend APIs, handling payment processing and transaction responses inside a Flutter app.
An Android app with a Q&A community where applicants build a track record, and an AI layer that ranks candidates for a role by comparing their activity against its requirements.
DATACAMP, 2024 — PLUS COMMUNITY RECOGNITION
Programming Fundamentals, OOP (Java), Database Systems, Data Structures, Mobile Application Development, Software Engineering Concepts, Web Technologies, Artificial Intelligence, Data Science, and Machine Learning.
I'm open to freelance work and full-time roles in AI automation and RAG, or Flutter mobile development.
muhammadxhah372@gmail.com