Ahmed Younas
About Candidate
Location
Education
I am an AI-focused Software Engineering student with hands-on experience in building and deploying real-world machine learning and computer vision solutions, including real-time object detection systems and AI model integration into production applications. I have worked across the full AI lifecycle from data preprocessing and model development to optimization and deployment using Python, TensorFlow, and API-based architectures. I am particularly driven by creating scalable, efficient AI systems and continuously improving model performance, and I am eager to contribute to advancing data-driven solutions while aligning with organizational goals and responsible AI practices.
Work & Experience
Worked primarily on AI model integration and fine-tuning, including chatbot systems within
production applications. Deployed models via APIs, assisted in dataset preprocessing, improved model accuracy, and optimized inference performance and latency in collaboration with
backend teams
Skills
Python
TensorFlow/TFLite
Dart
Awards
Developing a mobile-based Computer Vision and AR navigation system for visually impaired
users. Built a real-time object detection pipeline (MobileNet + TensorFlow Lite) with ARCore
integration, depth awareness, and obstacle alerts, targeting 15–30 FPS performance. Focused on improving detection accuracy, optimizing mobile inference, and evaluating performance using reliability and latency metrics
