Hi, my name is
Ali Ismail
I build intelligent systems for the future.
I'm a Systems and Biomedical Engineer based in Cairo, specializing in autonomous systems, medical imaging AI, and full-stack development. I bridge the gap between complex algorithms and human-centric engineering.
Hello! I am a student at Cairo University studying Systems and Biomedical Engineering. My passion lies in bridging the gap between complex algorithms and real-world human impact.
My journey has taken me from developing autonomous vehicle navigation systems that placed 3rd globally Watch Demo , to architecting AI-powered medical imaging platforms that accelerate MRI scans.
Whether I'm optimizing 3D visualizations or building educational tools for the visually impaired, I am driven by technical excellence and social responsibility.
Here are a few technologies I've been working with recently:
- C / C++
- Python (PyTorch)
- JavaScript (ES6+)
- ROS 1 (Noetic)
- React & Flask
- Qt & Java Swing
Biomedical Systems Engineer
Specialized in combining software engineering principles with medical domain knowledge to build robust technologies.
Software Engineer Intern @ Astute Imaging
Jul 2025 – Sep 2025
- Developed and optimized algorithms for 3D medical visualizations, boosting computational speed, and following industry standards.
- Built medical simulators for surgical procedures and implemented automated measurements using mathematical techniques.
- Worked with Three.js and React to integrate visualization tools into the core product pipeline.
AI Cardiac MRI Reconstruction
A deep learning platform to reconstruct undersampled CMR data, accelerating clinical scans by up to 10x. Includes a web-based viewer for comparing reconstruction algorithms.
- Python
- PyTorch
- Web Viewer
Handilingo: ASL & Braille
Educational platform for caretakers to learn ASL and Braille. Features 700+ questions, gamification, progress tracking, and personalized profiles.
- React
- Flask
- PostgreSQL
- Gamification
Beyond A*: Path Planning
Comparative research of Voronoi Potential Fields vs. PDE Sandwich approach. Won 5th best research project at TCCD Forum.
- Mathematica
- Pygame
- Algorithms
3rd Place Globally
Shell Autonomous Programming Competition
Secured 3rd place worldwide competing against top university teams. Architected the navigation stack for a self-driving vehicle.
5th Best Research Project
10th Undergraduate Research Forum (TCCD)
Awarded for the comparative study "Beyond A*: Voronoi Potential Fields vs. PDE Sandwich Approach for Optimal Path Planning".
Algorithmic Toolbox
Coursera | Certificate of Completion
Mastered core algorithmic techniques: greedy algorithms, divide-and-conquer, and dynamic programming through 32+ hands-on coding challenges Implemented algorithms in Python, handling problems from medium to advanced difficulty
Computational Neuroscience
Completed intensive training in Python, Neuroscience, & Math. Developed a Logistic Regression model to identify active brain regions in visual processing.
05. What's Next?
Get In Touch
I'm currently looking for MSc opportunities matching my experience and engage in research. Whether you have a question or just want to say hi, my inbox is always open.
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