Years of
Experience
READY TO COMMIT
I AM
MOHAMED YUSUF
Product Designer
Software Engineer
Developer. Problem Solver.
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Project
Completed
Completed
UI/UX Design
AI & ML Innovation
Embedded Development
Radio Dev Engineer
about
I’m Mohamed Yusuf, a software engineer who fuses innovation with technology. I specialize in telecom solutions, IT support, and web design. With hands-on experience at Ericsson and Electrolux, I bring streamlined, impactful ideas to life.
Service
What i do
Web Developer
Building robust, responsive websites that bring your ideas to life. I code, design, and optimize to deliver high-performance web solutions.
AI & ML Innovation
Leveraging advanced algorithms to build intelligent solutions that adapt and learn. I drive innovation through data-driven insights and cutting-edge machine learning applications.
Embedded Development
Specializing in robust embedded systems, I integrate hardware and software seamlessly. My work covers microcontrollers, communication protocols, and AUTOSAR to deliver efficient and reliable solutions.
Radio Dev Engineer
Focusing on 5G/6G LTE innovations using C/C++ and Python, I specialize in rigorous testing, unit testing, and hardware optimization to elevate radio frequency systems.
SERVICES
Web Developer
I design and develop robust, responsive websites that perform flawlessly on any device. I build secure, scalable web applications to drive business success.
From initial concept to deployment, my process focuses on clean code and efficient solutions for optimal performance.
Process
My workflow includes planning, development, testing, and seamless deployment using modern tools and best practices.
- Responsive Design
- Front-End Development
- Back-End Integration
- Performance Optimization
SERVICES
AI & ML Innovation
I harness the power of advanced algorithms to develop intelligent applications that learn and adapt. My work in artificial intelligence streamlines processes and unlocks new possibilities.
Every solution is built from data-driven insights, ensuring robust performance and scalability.
Process
From data collection to model training and deployment, my process is methodical and results-oriented.
- Data Collection & Analysis
- Algorithm Development
- Model Training & Testing
- Continuous Optimization
SERVICES
Embedded Development
I design and integrate efficient embedded systems that bridge hardware and software. My focus on microcontrollers and communication protocols ensures reliable system performance.
By applying expertise in C, C++, Python, and Go, I build solutions tailored for industrial and consumer applications.
Process
My approach emphasizes precision—from schematic design to rigorous testing and iterative optimization.
- Hardware/Software Integration
- Protocol Optimization
- System Testing & Validation
- Iterative Refinement
SERVICES
Radio Dev Engineer
Specializing in the optimization of radio frequency systems, I implement cutting-edge LTE and 5G/6G solutions. My expertise in C/C++ and Python ensures rigorous testing and fine-tuned hardware performance.
I deliver precise, reliable, and innovative radio engineering solutions that meet the demands of modern telecommunications.
Process
My process involves detailed system analysis, stringent testing, and iterative improvements to achieve excellence.
- RF System Analysis
- Software and Hardware Optimization
- Rigorous Testing & Calibration
- Iterative Development
Projects
Some of my projects
Embedded Vision
RaspberryPi-Project
Data Engineering
Big Data Processing with Apache Spark & AWS
Embedded IoT
Car-detection
5G/6G Machine Learning Integration
Integrating C++, Python, and Machine Learning to drive advancements in 5G/6G radio technology.
Category
Radio
Client
Ericsson AB
Duration
2018 - 2021
Designer
Keywords
C/C++, Python, Machine Learning, 5G/6G Radio Development
Project Description
The project focused on integrating advanced machine learning techniques with next-generation radio technologies to optimize network performance and reliability.
The Story
Innovated by leveraging interdisciplinary expertise to combine radio engineering with deep learning methods, breaking new ground in communication systems.
Our Approach
We adopted an iterative process of prototyping and testing, integrating simulation results with real-world performance metrics.
Packet Parsing: Bridging Engineering and Security
A Python-based tool for packet sniffing and cybersecurity exploration.
Category
Network
Client
Hobby Project
Keywords
Python, Cybersecurity, Network
Project Description
This project offers a deep dive into packet sniffing techniques for network security, harnessing the power of Python to parse and analyze network traffic in real time.
The Story
Born out of an interest in cybersecurity, the project evolved from simple script-based sniffing to a robust tool capable of uncovering hidden network anomalies.
Approach
Emphasis was placed on modular design and real-time data processing to ensure scalability and ease of integration with various security platforms.
Innovative Interface for Enhanced Training
Real-time fitness feedback via an onboard ski training system.
Category
Sport
Client
Motiofy AB
Keywords
Embedded
Project Description
This project delivers an innovative training tool that harnesses live sensor data to provide athletes with actionable performance insights.
The Story
Designed to revolutionize ski training, the interface was created by collaborating with sports technologists and athletes to ensure user-centric functionality.
Approach
Iterative design and user feedback were central to refining the interface, integrating real-time data visualization and intuitive control systems.
Deep Reinforcement Learning in The Legend of Zelda
An AI agent trained using deep Q-learning and convolutional neural networks to autonomously play The Legend of Zelda (NES). The agent learns objectives, avoids obstacles, engages in combat, and explores dungeons — all without hardcoded instructions.
Category
AI in Gaming
Project Type
Open Source Research
Keywords
Python, TensorFlow, PyTorch, Machine Learning
Project Description
This project uses reinforcement learning to train an agent to play Zelda. It uses convolutional neural networks and custom reward shaping to tackle objectives like defeating enemies, exploring rooms, and avoiding hazards. No scripted logic is used — the agent learns purely from gameplay experience.
The Story
Inspired by a love for retro games and AI research, this project explores what happens when deep learning meets NES classics. The Zelda agent learns to navigate complex dungeons and overworld maps through trial, error, and evolving strategy.
Approach
The model uses a viewport-based observation window, action masking, and objective-driven scenarios. It’s trained via PPO and Q-learning, with multiple specialized models for dungeon exploration, overworld movement, and beam vs non-beam states. Rewards and progress are carefully engineered through custom critics.
Automotive Evolution: Pioneering with AUTOSAR
Redesigning automotive embedded architecture with AUTOSAR for modular, scalable systems.
Category
Automotive
Client
NDA
Keywords
AUTOSAR, ISO 26262
Project Description
This project reimagined automotive software architecture by adopting AUTOSAR standards, paving the way for scalable and modular in-car systems.
The Story
Challenging conventional automotive designs, the team embraced AUTOSAR to meet the demands of next-generation mobility.
Our Approach
By leveraging standardized software layers and open architecture principles, our solution provided robust performance and future scalability.
RaspberryPi-Project
Real-Time Object Detection on Raspberry Pi using YOLOv5 and TensorFlow Lite. This project integrates computer vision with embedded systems, displaying real-time visual and system stats feedback.
Category
Embedded Vision
Tech
Python, OpenCV, TFLite
Keywords
Python, TensorFlow, Machine Learning
Project Description
Leveraging a Raspberry Pi 4 and Pi Camera, this project demonstrates efficient real-time object detection with LED and LCD status feedback.
The Story
Born from the need for low-cost, real-time vision, i explored deep learning’s potential on embedded hardware.
Approach
I adapted pre-trained YOLOv5 models for TFLite and optimized them for Raspberry Pi’s performance constraints.
Cloud-Scale ETL Pipeline with Spark & AWS for Big Data Analytics
A comprehensive data engineering solution that builds an end-to-end ETL pipeline and analytics dashboards using multiple data sources and cloud storage.
Category
Data Engineering
Tech
Python, Spark, AWS S3
Keywords
ETL, Apache Spark, AWS, S3, Power BI, Data Lake, Parquet, Python, Automation, Big Data, Data Pipeline, Star Schema
Project Description
The project focuses on transforming, analyzing, and storing multi-source datasets through an automated ETL pipeline, with insights presented in interactive dashboards.
The Story
Motivated by the need to harness big data for actionable insights, my project integrates modern data tools for scalable analytics.
Approach
By leveraging Apache Spark with cloud storage solutions, i created a robust, automated pipeline for efficient data processing.
Car-detection
A smart vehicle system that focuses on accident detection, passenger safety, and preventive measures such as drunk driver alerts using embedded systems and IoT technologies.
Category
Embedded IoT
Tech
Arduino
Keywords
C/C++,Arduino , RTOS
Project Description
This project develops cost-effective smart car solutions that include features for accident detection, passenger safety, and monitoring driver state via sensors and embedded systems.
The Story
Conceived to enhance vehicular safety, the project integrates multiple sensors and IoT devices to ensure proactive safety measures.
Approach
I combined real-time sensor data with embedded code on Arduino to enable features such as accident detection and driver monitoring with SMS alerts.
Education & Work Experience
Software Engineer – Embedded Systems & AI
Syntronic AB (Ericsson & Automotive Client – NDA)Developed AI-driven test protocols and embedded software using C/C++, Python, and TensorFlow for LTE and 5G/6G radio systems. Led agile teams as Scrum Master and contributed to CI/CD pipelines, Azure DevOps, Yocto-based builds, and testing with ISO 26262 and AUTOSAR standards.
2022 - Present
IT Technician
ElectroluxProvided technical support for IT infrastructure and systems, with responsibilities including troubleshooting, Active Directory, Azure AD, Office 365, network configurations, and ITIL-based ticket handling.
2022
Freelance Developer – Web & ML Projects
Self-EmployedBuilt full-stack web solutions using ASP.NET, Blazor, Bootstrap, and Python. Delivered machine learning prototypes and dynamic UI/UX-focused websites, with deployments optimized for client performance and scalability.
2021 - 2024
Bachelor in Computer Technology
MittuniversitetetFocused on Computer Engineering including Object-Oriented Programming, IoT, Cybersecurity, Machine Learning, and real-time embedded systems.
2019 - 2022
Yrkeshögskola in IT-Sales
Sälj och MarknadshögskolanSpecialized in IT and network technologies from a sales and technical marketing perspective.
2015 - 2017
Gymnasium in Information Technology
NTI GymnasiumStudied Computer and Communication Technology with a focus on networking and hardware systems.
2012 - 2015
SKILLS
My Favorite Stakes
C/C++
Developed real-time systems and performance-critical modules in embedded environments.
Python
Created automation scripts, data pipelines, and AI prototypes using Python’s extensive libraries.
R
Performed advanced statistical analyses and data visualizations in R for research projects.
Artificiell intelligens
Explored neural networks, deep learning methods, and real-world AI applications.
Machine Learning
Developed predictive models and pipelines with TensorFlow, PyTorch, and Apache Spark.
Azure
Utilized Microsoft Azure for cloud computing, deployments, and container management.
AWS
Managed scalable infrastructure and production deployments on Amazon Web Services.
REST API
Implemented robust API endpoints for cross-platform integrations and microservices.
CI/CD-processer
Automated build, test, and deploy pipelines for continuous integration and delivery.
Agile Software Development
Collaborated in Scrum and Kanban teams to deliver iterative enhancements effectively.
Kubernetes
Orchestrated containerized workloads for scalable microservices in cloud-native setups.
Jenkins
Set up and maintained Jenkins pipelines for automated testing and deployment.