Hello! I'm Abdallah El-Hakawati, a 3rd year Data Science & AI student at Applied Science Private University with an obsession for deep learning and building intelligent systems that actually work.
I'm the founder of Quinx — a competitive team I created that competes across various fields including programming, machine learning, computer vision, and hackathons. We push boundaries together and consistently achieve top placements.
From winning programming competitions to building real-time computer vision systems and workflow automations with n8n, I'm constantly pushing boundaries. My current focus spans Deep Learning, LLMs, Transformers, Computer Vision, Cloud (AWS & GCP), and Automation.
Applied Science Private University
Specializing in Machine Learning, Deep Learning, Computer Vision, and NLP. Currently in 3rd year.
Multiple Universities & Platforms
Won multiple 1st places in JPC7, Inter-university ML Contest, Computer Vision Competition, and more.
Various Platforms
Continuously learning and earning certifications in AI, ML, Cloud, and development technologies.
Competitive programming contest showcasing algorithmic problem-solving skills.
Machine learning competition between multiple universities. Built winning ML solution.
Developed high-performance CV solution achieving top accuracy and speed.
Second edition of the inter-university ML competition with advanced challenges.
Coding challenge demonstrating rapid problem-solving and programming skills.
Intensive AI hackathon building innovative solutions under time pressure.
High-performance tracking pipeline using YOLOv11l + BoT-SORT. Optimized for NVIDIA A100 with Re-ID and GMC.
Efficient detection with YOLOv11n achieving 110 FPS with 5MB model. Optimized for limited hardware.
Real-time sign language translation using MediaPipe and OpenCV. Converts gestures to audible speech.
AI assistant project inspired by Iron Man's JARVIS for automation and intelligent interaction.
Pitch booking app with Flutter and Firebase. Real-time slot booking for sports fields.
DeepLearning.AI • July 2024
SHAI For AI • Oct 2024
DataCamp • Aug 2024
Google • Jun 2025
Udemy • Mar 2024
I'm always excited to discuss new opportunities, collaborate on AI projects, or compete in hackathons.
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