Hi, I'm Hamas Ali
Software Engineer
A Software Engineer graduated from Capital University, Islamabad
Contact meAbout Me
My introduction
I’m a Software Engineer with a deep interest in artificial intelligence, mainly in deep learning, computer vision, and generative AI. I have successfully completed a 3-month AI internship at IT Solera Pvt Ltd, where I gained hands-on experience in developing intelligent solutions. I have strong expertise in Python and its popular libraries and frameworks such as Django, Flask, TensorFlow, PyTorch, and OpenCV, as well as LangChain for building AI-driven applications. In addition, I am proficient in C, C++, and Java, with a solid understanding of data structures and object-oriented programming. With a passion for continuous learning and problem-solving, I aim to contribute to impactful projects in a forward-thinking organization.
CGPA
experience
Skills
My technical levelProgramming Languages
C++
Python
Java
Django
JavaScript
langchain
Opencv
Tensorflow/PyTorch
IT Constructs
DBMS
DS & Algorithms
OOP
OS
Technologies
Machine Learning
Proficient in Scikit-learn, TensorFlow, and Keras for predictive modeling and data analysis.
Computer Vision
Expertise in OpenCV, TensorFlow, and Keras for image processing and computer vision projects.
Web Development
Experienced in Django for back-end development, React for front-end, and Bootstrap for responsive design.
Data Analysis & Visualization
Skilled in NumPy, pandas, Matplotlib, Seaborn, and Jupyter Notebooks for data manipulation and visualization.
Version Control
Proficient in Git for version control and GitHub for repository hosting and collaboration.
Databases
Experience with SQL, SQLite, for efficient data storage and retrieval.
Qualification
My personal journeySSLC
Noble house School SystemHigh School
ICS
RoyalCollege of Sciences Chakwal
University
Capital university of sciences and technology islamabadProjects
Most recent work
Car spot detection and counter system
Car spot detection and counter system , is a computer vision project capable of processing video feeds at 30 frames per second (fps). The system is designed to efficiently detect and count cars in real-time, making it a valuable tool for traffic monitoring, parking management, and smart city applications.
GitHub Repository
Car license plate detection
This advanced system not only identifies cars accurately but also extracts license plate information swiftly and efficiently. By integrating YOLOv8 with tracking algorithms like SORT, we enable continuous monitoring and tracking of vehicles across frames, ensuring robust performance in diverse environments. This project showcases the application of cutting-edge computer vision techniques to enhance security, automate surveillance, and streamline traffic management systems effectively.
GitHub Repository
Hand Gesture volume control
Our project utilizes MediaPipe, a versatile framework for building cross-platform AI solutions, to develop a hand gesture-based volume control system. By leveraging real-time hand tracking and gesture recognition capabilities, the system interprets specific hand movements to adjust audio volume dynamically. This innovative approach eliminates the need for physical controls, offering intuitive and hands-free interaction with devices.
GitHub Repository
People Counter using Yolov8
People Counter using YOLOv8 project is a real-time system designed to accurately count people entering and exiting a specified area within a video stream. Leveraging the YOLOv8 deep learning model, OpenCV for video processing, and SORT (Simple Online and Realtime Tracking) for object tracking, this system offers robust performance in dynamic environments such as malls, public spaces, or event venues
GitHub Repository
Dentox Ecommerce website
Dentox is an ambitious ecommerce website project crafted with Django, Python's robust web framework. Currently under active development, Dentox aims to redefine online shopping experiences with its comprehensive features and seamless user interface. This platform prioritizes security through a sophisticated authentication system with email verification, ensuring safe and reliable user interactions.
GitHub Repository
Cryptifyhub
a web application developed as part of my university project for the course "Information Security and Forensics." This project showcases various encryption techniques implemented using the Streamlit Python library.
GitHub Repository
Coffee machine virtual interface using CV
The Coffee Machine Virtual Interface is an innovative project that uses cutting-edge computer vision technology to create a touchless coffee ordering system. Leveraging Python, OpenCV, and MediaPipe, this interface allows users to select their coffee type, sugar level, and cup size through simple hand gestures. This intuitive system even records the interaction, providing a seamless and modern coffee ordering experience.
GitHub Repository