πŸ‘¨β€πŸ’» AbdulHaseeb Umar

I'm a Computer Science graduate and AI & Full-Stack Developer passionate about building intelligent, secure, and user-focused digital solutions. I hold Bachelor's degrees in Computer Science from the University of Debrecen and the University of the People, with a strong foundation spanning software engineering, artificial intelligence, machine learning, web development, cybersecurity, and data-driven technologies.

My primary interests are in Artificial Intelligence, AI training, machine learning, and full-stack web development. I have experience working with AI systems through model evaluation, data annotation, prompt development, response assessment, and AI training workflows, with a focus on improving the quality, accuracy, reasoning, and reliability of AI-generated outputs.

On the development side, I build full-stack applications using technologies such as React, TypeScript, JavaScript, Python, Java, C#, SQL, Supabase, and Tailwind CSS. I enjoy taking an idea from concept to a functional productβ€”from designing responsive user interfaces and building APIs and application logic to implementing databases, authentication, and intelligent features.

I am particularly interested in opportunities involving AI engineering, AI training and evaluation, machine learning, full-stack web development, software engineering, AI-powered applications, data solutions, and technical problem-solving. I enjoy learning new technologies, solving complex problems, and building practical systems that create meaningful impact.

πŸ“„ Download Resume

🧠 Core Skills

Artificial Intelligence & AI Training: AI model evaluation, data annotation, prompt engineering, response evaluation, AI training workflows, quality assessment, machine learning fundamentals, and AI-powered application development.

Full-Stack Development: React, TypeScript, JavaScript, HTML, CSS, Tailwind CSS, REST APIs, authentication, databases, responsive UI development, and application deployment.

Programming: Python, Java, C#, C++, C, SQL, and JavaScript/TypeScript.

Tools & Technologies: Git, GitHub, Supabase, Android Studio, Visual Studio, VS Code, WebGL, Three.js, MATLAB, and cloud-based development platforms.

πŸš€ Projects

Below are selected personal and academic projects demonstrating my experience in AI, full-stack development, software engineering, and problem-solving.

🎭 Emotion Detector App

An Android application that uses the Face++ API to analyze facial expressions and detect emotions from camera or gallery images. The application then responds with mood-based audio to create an interactive user experience. Built with Android Studio and Java.

View on GitHub β†’

πŸ’¬ WPF Chat Application

A desktop client-server chat application developed in C# using WPF. The application supports multi-user communication, LAN-based messaging, file transfers, and custom message formatting, demonstrating practical experience with desktop software development, networking, and client-server architecture.

View on GitHub β†’

πŸ₯— NourishTrack – AI Meal Planner

A full-stack AI-powered nutrition platform designed to help users track meals and receive personalized meal recommendations. Built with React, TypeScript, Tailwind CSS, and Supabase, with authentication and persistent data storage. The project demonstrates my ability to combine modern full-stack web technologies with AI-driven functionality to solve practical real-world problems.

View on GitHub β†’

πŸ€– AI & Training Experience

Alongside software development, I have developed practical experience working with AI systems and AI training workflows. My experience includes evaluating AI-generated responses, assessing accuracy and relevance, identifying errors, following detailed evaluation criteria, and helping improve model outputs through structured feedback and data-driven processes.

I am particularly interested in the development and improvement of generative AI systems, including large language models. I enjoy analyzing model behavior, testing responses against requirements, identifying weaknesses in AI outputs, and contributing to training and evaluation processes that make AI systems more reliable and useful.

πŸ“« Contact

Email: adizumar82@gmail.com
Phone: +36 20 515 4662
LinkedIn: LinkedIn
GitHub: github.com/adizoriginal