Fraunhofer IIS
Ibrahim Abdelazim.
I bring digital ideas to life.
I'm a Medical Engineering M.Sc. Student Specializing in Medical Image and Data Processing, I Incorporate my software engineering skills to excel but not limited to the creation of outstanding medical digital experiences. This involves working with Full Stack Applications, Microservices & Deployment on Containers.
My current areas of interest in Research
Reserach Interests : {
MRI Clinical
Workflow Optimization,
AI Integrated
Medical Imaging Software,
Quantitative Magnetic Resonance Imaging
}
I am passionate about transforming healthcare technology, I focus on scalable software solutions, quality engineering, and cutting-edge applications in healthcare
Who I Am
About Me
With a diverse skill set that includes Full Stack Development, DevOps and branding, I am a well-rounded Software Engineer.
Hello! My name is Ibrahim, I have a passion for technology specially software engineering, which is why I chose to major in software engineering through Systems & Biomedical Engineering Department in my B.S.Eng. where I studied both software and hardware engineering. Since pursuing my engineering degree, my career has taken me through diverse industries, allowing me to refine my expertise in web development, desktop, DevOps, embedded software and medical hardware.
Recent Technologies
In addition to my technical skills, I am committed to continuous learning and staying up-to-date with the latest industry trends Here are a few technologies I've been working with recently :
- React
- Docker
- Kubernetes
- Qt C++
- NodeJS
- TypeScript
- PyTorch
- PyQt6
Career
Experience
Click on the companies to see more details
Working student, Audio Software Engineer
May 2026 - Present
- Develop and maintain 3D audio cross-platform applications for IVAS and EVS codecs.
- Deploy audio-based machine learning models onto mobile devices and NPUs for real-time audio processing.
- Integrate internally developed audio codecs and audio signal processing algorithms into functional systems using Rust, C++ and TypeScript.
- Extend and maintain CI/CD pipelines and DevOps tooling to automate building, testing, and deploying audio application.
- Rust
- TypeScript
- C++
- React
- Docker
Siemens Healthineers
Master Thesis Student, Cardiovascular MRI
Jun 2026 - Present
Automated Selection of Optimal Offset Frequency for Banding Artifact Reduction in TruFi Cardiac Cine MR Imaging
- PyTorch
- Python
Working student, Cardiovascular MRI Application Developer
Mar 2025 - May 2026
- Support the development of new applications in the field of cardiac MRI imaging.
- Migrating legacy desktop applications to cloud-based web solutions.
- Design and develop post-processing pipelines for cardiac strain analysis and 4D flow.
- TypeScript
- React
- FastAPI
- Python
- Docker
Bosch GmbH
Graduate Software Engineering Intern
Aug 2024 - Aug 2024
- Developed and deployed front-end and back-end systems for an IoT-based container tracking solution in the logistics industry, enhancing real-time monitoring of shipment containers from origin to destination.
- Optimized deployment processes using containerization and automation tools, reducing system downtime and improving the reliability of tracking applications.
- TypeScript
- React
- NodeJS
- C#
- DotNet
- PostgreSQL
- Docker
- AWS
Neureveal Inc.
Software Engineer
Nov 2023 - July 2024
- Developed the all new AI-Exchange platform for the company using React & NodeJS
- Contributed to the development of System Design, UI/UX Design, and Database Design
- JavaScript
- NodeJS
- React
- PostgreSQL
- Prisma
- Docker
- Figma
Software Engineering Intern
Aug 2023 - Oct 2023
- Research and implement appropriate machine learning algorithms for computer vision application such as object detection, key point detection, object segmentation & anomaly detection for prostate cancer diagnoses using MR images
- Contributed to the development of the Neureveal Viewer using React, Tailwind CSS following the international healthcare standards
- Played a pivotal role in the creation and implementation of a robust user management system for hospitals and radiology centres.
- Pytorch
- MONAI
- Python
- React
- Redux
- SCSS
Siemens Digital Industries Software
Software Engineering Trainee
Oct 2023 - Feb 2024
Final Project: Virtual Room Creator
- Effective coding using best practices (Clean Code / Error Handling / TDD, Unit test
- Code Reviews / Debugging / Logging / Memory Performance & Problems / Static & Shared Libs
- Data Structures efficient usage / Advanced Algorithms
- Working Under Linux / Version Management / Build Systems
- System Design/ Software Development Life Cycle / Software Models / Software Documentation
- Sneak Peak on Spring Boot / Spring Boot Security / Microservices with Spring Boot
- Introduction to Angular Framework
- typescript
- c++
- cmake
- gcc
- java
- spring-boot
- angular
- linux
Canon Medical Systems
Hardware Engineering Intern
Oct 2023 - Feb 2024
- Learned about the XRay machines concepts, components, installation and maintenance.
- Learned about the Ultrasound machines concepts, components, installation and maintenance.
- Dived in XRay and Ultrasound machines Service Engineering reading the service & installation manuals.
Hard Skills
Skills
I am proficient in
Technologies & Languages I've worked with
I have experience in a variety of programming languages and technologies. I am always eager to learn new things and take on new challenges.
- JavaScript
- TypeScript
- Python
- C/C++
- C#
- React.js
- Next.js
- Node.js
- Express.js
- Django
- FastAPI
- .NET Core
- MongoDB
- SQL
- Linux (Ubuntu)
- Git/GitHub
- GitLab
- Docker
- AWS
Concepts I've mastered
I have a strong foundation in computer science and software engineering and aspire to understand more about the world of technology.
- Data Structures
- Algorithms
- Object Oriented Programming
- Problem Solving
- Microservices
- RESTful APIs
- Agile Methodologies
- DevOps
- Autonomous Driving
- Machine Learning
- Medical Image Analysis
- Digital Signal Processing
- UI/UX
Some things I built.
Featured Projects
Focused on the experience, driven by the engineering.
Zero Footprint Web Based Medical Imaging platform
PublicEnd-to-End Framework for AI powered Brain Imaging
that is built from scratch using modern web technologies on top of a microservices architecture. it integrates our developed Motion Artifacts Correction and Brain Tumor Segmentation AI models and tools for advanced image processing and analysis.
- React
- Redux
- Django
- FastAPI
- RabbitMQ
- PostgreSQL
- PyTorch
- Node.js
- Docker
- AWS
- Cornerstone3D
- Orthanc DICOM PACS
- DICOM
- BIDS
Computer Vision Toolkit
PublicA Toolkit that has various vision algorithms and techniques implemented from scratch
like noise reduction, edge detection, image histograms, frequency domains filters, hough transforms, Active contours, SIFT features extraction & facial detection and recognition.
- OpenCV
- Qt
- C++
- github
- Algorithms
- Classic Computer Vision
Virtual Room Creator
PublicA Web Platform for creation of dynamic & tailored immersive VR/XR experiences
That allows users to create and customize their own virtual rooms and spaces with a variety of 3D models, textures, and lighting options. Users can also share their creations with others and explore other users' creations.
- React
- Typescript
- Taiwlind
- Vite
- threejs
- Java
- Spring Boot
- Postgres
- JWT
- Docker
- Swagger
- Redis
- github
- GIT
- Figma
- Jira
- Postman
VR Medical Equipment Repair and Maintenance Game
PublicVirtual Reality Training Game
that enables biomedical engineering students to train on how to fix/maintain high-cost Diagnostic Imaging modalities and laboratory systems with risk-free, cost-free VR technology. It offers wide choice of errors, malfunctions & ability to solve problems related to the devices. This wide choice of errors let biomedical engineers get exposed to many failures which they cannot have during their training.
- C#
- Unity
- Python
- Oculus Quest
- Modelling
SprintX
PrivateAn Intelligent AI Explosiveness Coaching System
that helps athletes improve their performance by measuring performance with scientific precision, translating that data into targeted protocols that maximize explosiveness. This approach fuels dynamic, personalized training plans, guaranteeing the fastest path to an athlete's peak competitive potential
- github
- React
- Typescript
- Firebase
- Python
ASL MRI Parameters Generator from DICOM/BIDS
PublicPost Processing Platform
for Arterial Spin Labeling (ASL) MRI Data to extract and generate the required parameters for ASL data processing pipelines from DICOM or BIDS formatted datasets. Done with the Open Science Initiative for Perfusion Imaging (OSIPI).
- React
- Typescript
- Next.js
- Python
- FastAPI
Student Activities
Extracurriculars
Some of the activities I have been involved in during my time at Cairo University & University of Erlangen-Nuremberg
High Voltages Motorsport
Cairo University Racing Team
CUFE Student Club
IEEE EMBS
IEEE YP Egypt
IEEE CUSB