Hi there 👋, I'm Asad Majeed

AI & Machine Learning Specialist
Get In Touch Learn More

About Me

Asad Majeed

Personal Information

From: Dera Ghazi Khan, Punjab, 32200, Pakistan
Nationality: Pakistani

Education

MS, Computer Engineering at Ghulam Ishaq Khan Institute (GIKI)

BE, Electrical Engineering at Sukkur IBA University

Professional Focus

Experienced in Machine Learning, Computer Vision, and Data Science with applications in Agricultural Technology. Research focused on crop yield estimation using remote sensing and machine learning techniques.

Professional Experience

Academic Experience

Graduate Teaching Assistant

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

January 2023 - January 2025 (2 years)

Assisted in teaching Object-Oriented Programming, Computing and AI, Systems Programming, and Computer Networks

Prepared course materials, design assignments, and conduct lab demonstrations

Provided academic support and mentorship to students through office hours and one-on-one sessions

Lab Engineer

Namal University, Mianwali, Pakistan

September 2022 - January 2023 (5 months)

Conducted lab sessions for Computer Networks and Quantitative & Computational Reasoning

Guided students in hands-on assignments, ensuring understanding of core concepts

Collaborated with faculty to evaluate and grade lab reports, exams, and other coursework

Professional Development

Freelance Python Developer

Fiverr

June 2021 - Present (3 years 10 months)

Level 2 Seller 100+ Orders 80+ 5-Star Reviews

Developed custom Python scripts for automation, data processing, and analysis

Created IoT applications using Raspberry Pi and various sensors for environmental monitoring and control systems

Implemented machine learning algorithms for data classification, prediction, and pattern recognition

Python Software Engineer

Upwork

January 2022 - Present (3 years 3 months)

Top Rated Freelancer

Managed backend system (Jenkins) for Scrapy scrapers with SQL database integration

Built trading algorithms utilizing Interactive Brokers API for automated market analysis and transactions

Created dynamic HTML website scrapers and API integrations for data aggregation and analytics

Utilized NumPy, Pandas, Matplotlib, and PyTorch for data processing and visualization in client projects

Education

MS in Computer Engineering

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

January 2023 - April 2025

CGPA: 3.63/4.0
Thesis: Crop Yield Estimation using Remote Sensing and Machine Learning
Major Coursework: Artificial Intelligence, Machine Learning
Awards:
  • Graduate Assistantship (2023)
  • Dean's Honor Roll (twice in 2023)

BE Electrical Engineering

Sukkur IBA University

January 2018 - May 2022

CGPA: 3.48/4.0
Final Year Project: Crop Monitoring using Raspberry Pi
Awards:
  • National Talent Hunt Program (NTHP) Scholarship (2017)
  • Merit Scholarship (Fall 2020)

Certifications

Machine Learning & AI

Programming & Data Science

Key Projects

Weed and Cotton Crop Detection

YOLO Faster RCNN Computer Vision

Trained YOLO and Faster RCNN models on a self-created dataset and compared their efficiency for detecting weeds among cotton crops.

Plant Classification using CNN

CNN Image Classification TensorFlow

Developed a CNN-based classification model to separate cotton crops from weed infestations with high accuracy.

Question Answering with PDF using RAG

LLM RAG NLP

Built a retrieval-augmented generation system to answer queries directly from PDF documents using cutting-edge LLM technology.

Library Management System

Java OOP Database

Designed a Java application for managing library operations including lending, returning, and inventory management.

React Weather Forecast Application

React.js API Integration Frontend

Developed a React.js frontend to fetch and display weather data based on user-selected cities with interactive UI.

Flutter Weather Forecast Application

Flutter Dart Mobile

Built a cross-platform mobile app in Flutter offering real-time weather updates and forecasts with a clean user interface.

Publications

Deep Learning Approaches for Precision Agriculture: Weed and Cotton Crop Classification Using YOLO and Faster RCNN

Authors: Asad Majeed, Fatima Faridoon, et al.

Conference: International Conference on IT and Industrial Technologies (ICIT 2024)

Research comparing the effectiveness of YOLO and Faster RCNN models for classifying cotton crops and weeds in agricultural environments, contributing to precision agriculture p[...]

A Review of Algorithm's Complexities on Different Valued Sorted and Unsorted Data

Authors: Attia Shabbir, Asad Majeed, et al.

Conference: International Conference on IT and Industrial Technologies (ICIT 2023)

A comprehensive analysis of various algorithms' performance characteristics when working with different types of sorted and unsorted data structures.

Skills & Technologies

Programming Languages

  • Python
  • C/C++
  • Java
  • JavaScript

Machine Learning

  • TensorFlow
  • PyTorch
  • Keras
  • Scikit-learn

Data Science

  • NumPy
  • Pandas
  • Matplotlib
  • Data Analysis

Computer Vision

  • OpenCV
  • Object Detection
  • Image Classification
  • Image Segmentation

Software & Tools

  • MS Office Suite
  • Git
  • LaTeX
  • Linux

Professional Skills

  • Research & Development
  • Teaching & Mentoring
  • Technical Writing
  • Problem Solving

Honors & Memberships

Awards

National Talent Hunt Program Scholarship

Sukkur IBA University, 2017

Competitive scholarship awarded to exceptional students demonstrating academic excellence.

Merit Scholarship

Sukkur IBA University, Fall 2020

Awarded for achieving highest GPA among peers.

Graduate Assistantship

Ghulam Ishaq Khan Institute (GIKI), 2023

Recognition of academic excellence and teaching abilities.

Dean's Honor Roll

Ghulam Ishaq Khan Institute (GIKI), 2023

Achieved twice in 2023 for outstanding academic performance.

Memberships

Pakistan Engineer Council

Licensed professional engineer with the national engineering regulatory body.

Get In Touch

Have a project in mind or want to discuss potential research collaborations? Feel free to reach out through any of these channels.

syedasad.majeed@gmail.com