Open to work

Hi, I'm Hassaan Naushad

AI Engineer & Mobile App Developer

I build AI-powered apps. I have worked on RAG systems that answer questions from documents, deep learning models for medical images, and mobile apps with React Native and Firebase.

Download CV See my projects
HN Hassaan Naushad

About me

A bit about me

I'm a Computer Science graduate from Sir Syed CASE Institute of Technology, Islamabad. My final-year project HealthSync, a hospital app with AI features, got 1st position among FYPs.

Most of my work is around AI. During my internship at C@re I built a RAG system that answers questions from large sets of documents, and at NESCOM I trained a deep learning model to de-blur MRI images. I also like building full apps, so I have made mobile apps with React Native and websites with React.

Right now I'm working as an AI Application Developer on a client project, adding AI features to real applications. I'm looking for a role where I can keep building useful AI products.

LocationIslamabad, Pakistan
CurrentlyAI Application Developer
EducationBS Computer Science (2021 – 2025)
Achievement1st position, final-year projects
InterestsLLMs, RAG, deep learning, mobile apps

Education

Education

BS Computer Science

Sir Syed CASE Institute of Technology, Islamabad · Sep 2021 – Jun 2025

🏆 Final Year Project HealthSync: 1st position

Experience

Where I've worked

Internships and work where I learned the most.

AI Application Developer

Client Project (Remote)
May 2026 – Present
  • Building AI-enabled software by adding AI features and services to modern, scalable applications.
  • Working with APIs, backend services and data workflows, and testing features to deliver project milestones.
Technical Supervisor: Dr. Yasir Jan, Head of AI Department, SS CASE IT (dr.yasir.jan@gmail.com)

AI Engineer Intern

C@re Pvt Ltd (Center of Advanced Research in Engineering), Islamabad
Sep 2025 – Dec 2025
  • Built an AI-powered retrieval (RAG) system for large document collections and containerized it with Docker.
  • Worked with APIs, vector databases and backend services, tested the system and improved how accurate its answers were.

Machine Learning Intern

NESCOM, Islamabad
Aug 2024 – Oct 2024
  • Built a convolutional autoencoder in TensorFlow/Keras that de-blurs brain MRI images, trained on 1,474 pairs of clear and blurred scans.

Frontend Developer Intern

Codsoft Infotech (Remote)
Aug 2023 – Sep 2023

Projects

Things I've built

The source code of these projects is private, but each one has a public showcase with screenshots and details.

HealthSync app banner
HealthSync welcome screen Doctor home screen Messages screen AI assistant chat MRI analysis result
Final Year Project · 1st Position

HealthSync

A mobile hospital app that connects patients, doctors, hospital staff and admins in one place.

  • Role-based access, real-time chat with document sharing, voice notes and video calls
  • LLM-powered medical chatbot using Hugging Face models through a Flask backend
  • Brain-tumour detection from MRI scans (95%+ accuracy) with Grad-CAM heatmaps and PDF reports
React NativeFirebaseFlaskPyTorchHugging Face
Website Showcase
Multi-Document RAG System
AI Engineer Internship · C@re

Multi-Document RAG System

Ask a question and it finds the right legal or policy PDFs, then answers from them. It picks only the relevant documents and says no to unrelated questions.

PythonLangChainMilvusFastAPIDockerDeepSeek R1
Showcase
Blurry MRI input next to the de-blurred output
ML Internship · NESCOM

MRI Image De-blurring

A convolutional autoencoder that takes a blurry brain MRI image and gives back a sharper one. Trained on 1,474 pairs of clear and blurred scans.

PythonTensorFlowKerasDeep Learning
Showcase
"oncology" ≈ "onclogy"
fuzzy match + AND / OR rules → tags
Client Project

Fuzzy Keyword Matching & Tagging

Tags pharmaceutical publications with topics, products and indications using fuzzy matching and AND/OR keyword rules. It filters out irrelevant records first, which saves manual review time and LLM cost.

PythonpandasRapidFuzz
Showcase
Dress Domain online store
Web App

Dress Domain

An online clothing store with men, women and kids collections, product pages, a shopping cart and login pages.

ReactReact RouterReact ContextCSS
Live demo Showcase
Top 15 of 15,626
Kaggle · Titanic: Machine Learning from Disaster
Kaggle Competition

Titanic Survival Prediction

Predicted which passengers survived the Titanic. Built classification models with Logistic Regression and Random Forest, reaching 80%+ accuracy.

Pythonscikit-learnpandas
Shop Management System
Desktop app · C# WinForms + SQL Server
Desktop App

Shop Management System

A desktop app for running a small shop. The admin manages products, customers and employees, employees have their own panel, and all data is saved in SQL Server.

C#WinFormsSQL Server
Showcase

Skills

What I work with

Tools and technologies I have used in my projects and internships.

Languages

PythonJavaScriptSQLC++C#

Generative AI

LLMsRAGLangChainHugging FaceEmbeddingsPrompt engineeringAgentic AI (concepts)

Machine Learning

Deep LearningTensorFlow / KerasPyTorchscikit-learnpandas

Backend

FastAPIFlaskREST APIsFirebase

Web & Mobile

ReactReact NativeHTML / CSS

Databases & Tools

MilvusMySQLDockerGitGitHubGoogle ColabVS CodeFigma

Let's talk

I'm open to AI engineering roles and interesting projects. The quickest way to reach me is email.

hassaannaushad370@gmail.com LinkedIn Download CV