Junaid

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.

+

satisfied clients

+

projects completed

+

years of experience

Skills 

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Javascript

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Typescript

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React JS

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NextJS

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GEE

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Sentinel Hub

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GitHub

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Mongo DB

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Node JS

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Python

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Django

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Pandas

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Numpy

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TensorFlow

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SQL

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Tailwind

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SCSS

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CSS

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HTML

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CPP

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AutoDesk Maya

Experience 

  • VitalGreen
  • UMT
  • CUI
  • COMSATS

Web Developer@Vital Green Ltd.

Jan 2024 - Present

  • Engaged as a NextJS developer, contributing to the development of robust system for agriculture monitoring solutions.
  • Leading the transformation of Crop-Sight into a practical agriculture monitoring product, focusing on revolutionizing farming practices in Pakistan through technology.
  • Specializing in precision farming techniques using utilizing machine learning, satellite imagery and remote sensing for farm management, crop monitoring, yield estimation, and resource optimization.

Education 

My Work 

Crop Sight

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
Javacript
NFT Arena

NFT Arena

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

NextJs
Typescript
Metamask
Ethereum
Cloudinary
IPFS
Symptoms Sense

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
TEDx COMSATS

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
Kidney Stone Detection

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
Shop Management System

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