Hi, my name is

Junaid Ali

I am a Computer Scientist with over 3 years of experience in various domains. My expertise includes web and mobile app development, Machine Learning, AI, and computer vision. I have also contributed to research projects.

Resume Contact

satisfied clients

projects completed

years of experience

Skills

NextJS

React JS

Typescript

Javascript

Python

FastAPI

Django

Node JS

LangGraph

Pinecone

TensorFlow

Pandas

Numpy

PostgreSQL

Mongo DB

SQL

GEE

Sentinel Hub

Tailwind

CSS

SCSS

HTML

GitHub

Linux

CPP

AutoDesk Maya

Experience

Software Engineer@Smart A & I Solutions

Sep 2025 - Present

Led multiple projects and development teams, overseeing task planning, execution, and delivery.
Drove LLM integration in production web applications using LangGraph, enabling intelligent and scalable AI workflows.
Architected and delivered full-stack solutions using Python (FastAPI) and Next.js, with active PR reviews and technical mentorship.

Education

Master of Science In Computer Science

COMSATS University Islamabad(CUI), Lahore Campus

Relevant Courses included Advanced Computer Vision, Pattern Recognition, Machine Learning and AI.

2024-Present

Bachelor of Science In Computer Science

COMSATS University Islamabad(CUI), Lahore Campus

Relevant Courses included Data Structures and Algorithms, Computer Vision and Artificial Intelligence.

2020-2024

My Work

Crop Sight

Crop Sight optimizes crop monitoring, improves yields, and minimizes seed and fertilizer expenses through precision farming, satellite data, machine learning.

NextJs

Django

Python

GEE

Typescript

JavaScript

Code

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NFT Arena

An NFT marketplace built with Nextjs & Ethereum, empowering creators & collectors in the digital renaissance.

NextJs

Typescript

Metamask

Ethereum

Cloudinary

IPFS

Code

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Symptoms Sense

Our Disease Prediction System uses medical data to personalize your health journey, with AI insights and easy doctor appointment booking for a proactive approach to health.

NextJs

LangChain

OpenAI

Pinecone

Typescript

Cloudinary

Code

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TEDx COMSATS

TEDxCOMSATS, built with NEXT.js 14 and TypeScript! This website brings the magic of TED Talks to Lahore, Pakistan, hosting inspiring speakers and sparking ideas worth spreading.

NextJs

Typescript

Framer Motion

Tailwind

Code

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Kidney Stone Detection

The system will utilize image processing and computer vision techniques to analyze the CT images. The extracted features will be used to train CNN & SVM, to classify the images into positive and Negative.

Python

Gradio

Code

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Shop Management System

Users can track inventory and sales records, create employees for product sales, and add,view, update, delete products. This system is developed in C# Windows Form with an MS SQL database.

C# Win Forms

MS SQL

Code

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