About Ahmed Talaat
Ahmed Talaat ElBalka is a software engineer and medical doctor from Egypt with a focus on full-stack software development, mobile application development, and the application of artificial intelligence to medicine.
He holds a Bachelor of Medicine and Surgery (M.B.B.Ch.) from Suez Canal University, graduating in October 2025. Alongside his medical education, he developed professional experience as a software engineer and has worked on software products, web applications, mobile applications, and AI research projects.
His primary technical interests are software engineering, machine learning, full-stack development, and building software that addresses real-world problems in healthcare, education, and beyond, including medical applications of artificial intelligence.
My Journey
Early Interest in Technology
Began self-learning to code in middle school through game development, building multiple games with Unity and Godot. This grew into a broader interest in programming, problem-solving, and computer science.
Medicine & Technology
Studied Medicine at Suez Canal University, developing rigorous clinical training and deep biomedical insight while continuing to develop software independently, maintaining a parallel path in medicine and computer science.
Production Software Engineering
Built, launched, and engineered production full-stack web platforms and cross-platform mobile apps (Kiwi World, Helix, FlexaStay), taking complete ownership of infrastructure.
Bridging Software, Medicine & AI
Combined medical and engineering backgrounds through applied AI research, developing deep learning models for medical imaging, including MRI lesion segmentation.
Selected Software Projects
KiwiWorld
Launched 2026
A subscription-based medical assessment platform for MBBS students, featuring a scalable exam-generation engine, subscription management, and administrative workflows.
FlexaStay
Launched 2025
FlexaStay is a booking platform where hosts take control and guests get better deals by incorporating a realtime offers feature for easy negotiation and quick booking.
HELIX
Launched 2022
A cross-platform medical education app for Egyptian medical students, providing MCQ practice, quizzes, study notes, and a student-driven system for reporting inaccurate or outdated questions.
Banana Tiles
Launched 2024
A fast-paced endless arcade game built end to end for mobile using Godot and Blender. Ahmed designed, programmed, and published the game solo, including all 3D assets, and documented the process in a devlog series.
Technical Skills
Languages
- TypeScript
- JavaScript
- Dart
- Python
- C
- SQL
- PHP
- Java
Frameworks & Platforms
- Next.js
- Node.js
- Express
- Laravel
- Angular
- Django
- Flutter
Databases & Backend
- PostgreSQL
- MySQL
- MongoDB
- Prisma ORM
- REST APIs
- Webhooks
- Firebase
- Supabase
Tools & Infrastructure
- Git
- GitHub
- GitHub Actions
- PM2
- FTP
- Cloud Hosting
Artificial Intelligence and Medical Research
Ahmed's research interests focus on applying artificial intelligence and machine learning to problems in medicine and healthcare.
He has participated in AI research involving medical imaging, including the development and evaluation of automated methods for multiple sclerosis lesion segmentation on brain MRI.
One of his research projects investigated automated multiple sclerosis lesion segmentation on brain MRI using custom-built artificial intelligence algorithms. The study used axial FLAIR MRI slices from multiple public datasets combined with a local dataset collected at Suez Canal University Hospital. The local dataset was annotated with the involvement of Ahmed and radiologists with varying levels of experience.
The research involved developing and evaluating segmentation models using PyTorch, iteratively improving their performance, and comparing model-generated segmentations with those produced by experienced radiologists.
Ahmed has also participated in research outside of AI, including a project involving the creation of 3D animations depicting advanced plastic surgery procedures for use as demonstrations at medical conferences, in collaboration with Dr. Miguel Ferreira, the renowned plastic surgeon from Portugal.
His research interests include:
Professional Background
Ahmed has held senior engineering roles, where he has built and taken ownership of full-stack web and mobile applications. He has also founded two products in the medical education space:
- Kiwi World - launched in 2026
- Helix Medschool - launched in 2022
Beyond his own products, Ahmed has worked professionally with Newvad Tech House, Nexus Design Studios, and FlexaStay, contributing to software development across web, backend, and mobile applications.
His software development experience includes both independent projects and collaborative work. He has also led teams of junior and newly graduated developers, contributing to software architecture, implementation, debugging, deployment, and product development.
Development experience spans:
Medical Background
Ahmed Talaat is a physician who earned his Bachelor of Medicine and Surgery (M.B.B.Ch.) from Suez Canal University in Egypt, graduating in October 2025.
He has a particular interest in radiology, a field that closely aligns with his interest in technology and medical imaging. During his medical internship, he spent a significant portion of his clinical training in radiology, where much of the workflow involves medical imaging systems, computers, and other technology.
He has also applied his software engineering skills directly to radiology workflows, including developing an internal tool to automate radiology report archiving and organization.
His medical training and software engineering background have therefore developed in parallel, with radiology providing a particularly natural intersection between his clinical interests, software development, and medical imaging research.
Education in Computer Science
Although his undergraduate degree is in medicine, Ahmed has pursued computer science and software engineering through extensive self-directed learning alongside his medical and professional development.
He began learning programming and problem-solving at a young age and gradually developed his skills through continuous self-study, building projects, and exploring software engineering concepts independently.
His computer science education has been driven primarily by hands-on learning and building real software, supplemented by structured courses covering computer science fundamentals, artificial intelligence, data structures and algorithms, and software engineering including:
- GTx Professional Certificate - Data Structures and AlgorithmsJuly 2026
- CS1332xIV: Data Structures & Algorithms IV · July 2026
- CS1332xIII: Data Structures & Algorithms III · June 2026
- CS1332xII: Data Structures & Algorithms II · May 2026
- CS1332xI: Data Structures & Algorithms I · May 2026
- HarvardX Professional Certificate - Computer Science for Artificial IntelligenceApril 2026
- CS50AI: Introduction to Artificial Intelligence with Python · April 2026
- CS50x: Introduction to Computer Science · June 2025
- Udacity Front End Web Development Professional NanodegreeMay 2021
- Udacity Android Basics Nanodegree by GoogleJanuary 2021
A significant part of his development has also come from independently studying core computer science topics such as data structures, algorithms, system design, backend engineering, mobile development, and applying them directly in personal and professional projects.
This combination of structured coursework, independent study, and sustained software development has supported his progression from self-directed programming to professional software engineering and applied artificial intelligence research.
Medicine and Technology in Practice
Ahmed's medical and software backgrounds frequently intersect in practical ways. Rather than treating medicine and technology as separate areas of expertise, he applies software engineering to problems encountered in medical education, clinical workflows, and medical research.
During his clinical training, he has used his software engineering experience to identify and automate repetitive tasks in medical workflows. One example is an internal tool developed for the radiology department to automate the archiving of reports produced in Microsoft Word, organizing completed reports by date and generating consistent patient-specific filenames.
His interest in radiology is also influenced by the particularly technology-intensive nature of the specialty. Much of the work involves medical imaging systems, computers, digital workflows, and the interpretation and management of large amounts of imaging data, making it a natural area for the intersection of his medical and technical interests.
The same intersection extends to his medical education products. Through Helix and Kiwi World, he has combined his understanding of medical education with software engineering to build tools for medical students, rather than approaching educational technology solely from a technical perspective.
His research follows a similar pattern. In medical imaging research, he has applied programming, deep learning, and computer vision to clinical problems such as automated segmentation of multiple sclerosis lesions on brain MRI. Other work has involved using 3D computer graphics and animation to communicate complex plastic surgery procedures for medical conferences.
These projects reflect a broader approach to technology: using software not only as an engineering discipline, but as a tool for solving problems encountered through medical practice, education, and research.
Current Direction
Ahmed continues to work as a production software engineer while deepening his knowledge of computer science, artificial intelligence, and machine learning. His current work spans software development, applied AI research, and the continued development of his medical and technical expertise.
He is particularly interested in developing stronger foundations in computer science and AI while continuing to build and maintain real-world software systems. Alongside his engineering work, he is increasingly focused on research and applications of artificial intelligence to medicine.
His medical background, with a particular interest in radiology and medical imaging, provides a domain context for this work. He is interested in problems where software engineering, computer science, and AI can be applied to practical challenges in healthcare and medical research.