Hi, my name is
Ezedin Fedlu.
I Craft Digital Dreams
I'm Software Engineer with a passion for creating extraordinary digital experiences. Proudly contributing skills at Volvo Cars, driving our mission of safe, sustainable, and convenient mobility solutions.
About Me
Hello! I'm Ezedin, an innovative Software Engineer with 9+ years of experience transforming business challenges into technological solutions. Currently architecting large-scale automotive systems at Volvo Cars, specializing in AI-powered solutions, full-stack development, and cloud architecture.
I've had the privilege of working across multiple industries and countries, from automotive systems in Sweden to fintech in the US. My key strengths include strategic problem-solving, technology versatility across multiple stacks, microservices & cloud infrastructure expertise, and AI & machine learning integration.
Here are the core technologies I work with:
- JavaScript/TypeScript
- C#/.NET Framework
- React/Angular
- Node.js/Express.js
- Spring Boot/Java
- Python/Django
- PostgreSQL/MongoDB
- Neo4j/Redis
- AWS/Azure/GKE
- Docker/Kubernetes
- GraphQL APIs
- Microservices
- AI/ML Integration
- Event-Driven Systems
What I'm Offering
Design
Product design, UI/UX design, Design systems
Development
Developing scalable web apps and mobile apps
Deployment
Automated deployment workflow and CI/CD pipelines
Maintenance
Continuous monitoring, maintenance and support
Where I’ve Worked
Software Engineer @ Volvo Cars
Jun 2024 - Present
- Architected and developed a large-scale automotive manifest ingestion system at Volvo Cars, processing complex vehicle data and exposing it through a unified GraphQL API with Neo4j as the graph database backend.
- Built a comprehensive monitoring and alerting infrastructure using Grafana and Prometheus to track system performance metrics, Azure Service Bus queue depths, and service health, enabling proactive issue detection and reducing debugging time across multiple engineering teams.
- Redesigned and rebuilt the user interface with advanced filtering capabilities and intuitive data visualization, transforming a basic tool into a feature-rich platform that significantly improved developer productivity and data accessibility.
- Implemented an AI-powered support chatbot using RAG (Retrieval-Augmented Generation) that autonomously resolves over 20% of support cases, reducing manual support workload and accelerating issue resolution for development teams across the organization.
- Established a scalable, event-driven architecture using Azure Service Bus and Azure Functions that serves as a critical integration point for multiple teams, ensuring consistent data flow and reducing system coupling in the automotive development ecosystem.
Other Noteworthy Projects
view the archiveAutomotive Manifest System
Large-scale vehicle data processing system with Neo4j graph database backend and GraphQL unified API for automotive manifest ingestion at Volvo Cars.AI Support Chatbot
AI-powered support chatbot using Retrieval-Augmented Generation (RAG) achieving 20% automation of support cases with proactive issue resolution.Monitoring Infrastructure
Real-time performance metrics and monitoring infrastructure with Grafana & Prometheus integration supporting multi-team debugging.Sports Wagering Platform
Interactive sports betting web application with federated GraphQL microservices and AWS CI/CD pipeline generating $2M+ revenue.E-learning Platform API
Comprehensive RESTful API with multi-tenant architecture for educational content management and learning platform operations.Sport Field Management
Booking & scheduling system with real-time availability tracking and comprehensive manager dashboard for sport field operations.