Hi 👋 I'm Mohamed Yehia

Senior .NET Software Engineer specializing in high-performance backend systems, distributed architectures, and AI integration.

🔹 3+ years experience in C#, ASP.NET Core, gRPC, RabbitMQ
🔹 Building real-time, scalable microservices
🔹 Integrating AI/ML models into production .NET systems
🔹 Passionate about clean architecture & performance optimization

🧠 Professional Summary

I am a Senior Software Engineer with hands-on experience designing and implementing distributed backend systems, real-time communication layers, and event-driven microservices.

My work focuses on:

• gRPC-based bidirectional streaming
• Reliable messaging with RabbitMQ
• High-performance .NET services
• Production-grade AI model integration

I value clean architecture, scalability, observability, and maintainability.

🛠 Tech Stack

Backend & Distributed Systems

• C#, .NET, ASP.NET Core, Web API
• Microservices Architecture
• gRPC (Unary, Server & Bidirectional Streaming)
• RabbitMQ (Pub/Sub, Retry, DLX)
• Redis

Databases

• SQL Server (Indexes, Stored Procedures, Performance Tuning)
• Entity Framework Core, ADO.NET
• SQLite, Firebase

AI & Computer Vision

• YOLOv8
• ONNX
• Dataset annotation (LabelMe)
• Model inference integration in .NET

Networking & Protocols

• TCP / UDP
• Modbus TCP
• BLE

Desktop & UI

• WPF
• MVVM

DevOps & Tooling

• Git, TFS
• Docker, Kubernetes
• Visual Studio, VS Code
• CI/CD (basic pipelines)

Testing & Quality

• xUnit, Moq
• TDD
• SOLID, Clean Architecture, Design Patterns

🚀 Featured Projects

🔹 Real-Time gRPC Communication Layer

• Designed bidirectional gRPC streaming between services
• Optimized latency and throughput compared to REST
• Proper cancellation, backpressure, and error handling

Tech: .NET, gRPC, Async Streams

---

🔹 Event-Driven Microservices with RabbitMQ

• Implemented publisher/subscriber workflows
• Retry policies & dead-letter exchanges
• Reliable event propagation under failures

Tech: RabbitMQ, ASP.NET Core, Docker

---

🔹 AI-Powered Inspection & Detection System

• Integrated YOLOv8 inference into .NET services
• Optimized model loading and concurrency
• Used ONNX for deployment efficiency

Tech: YOLOv8, ONNX, C#, WPF

---

🔹 Sensor Data Collection Platform

• Collected real-time data from hardware via Modbus TCP & BLE
• Streamed data to downstream services reliably
• Ensured accuracy and fault tolerance

Tech: TCP/IP, Modbus, .NET

🏗 Engineering Principles

• Clean Architecture & SOLID principles
• Performance-driven design
• Observability & logging
• Async & concurrent programming
• Fault-tolerant distributed systems

💼 Experience Highlights

• Designed gRPC-based real-time communication layers
• Built resilient messaging systems using RabbitMQ
• Integrated AI/ML inference models into production .NET services
• Optimized SQL Server performance for large-scale data
• Worked closely with frontend, QA, and DevOps teams

🎓 Education & Achievements

• B.Sc. Computer & Information Science — Ain Shams University
  Grade: Very Good with Honor

🏆 Achievements:

• 1st Rank – NLP Competition
• 2nd Rank – AZ-Sencs Mobile Application Track
• Google Hash Code Participant

📫 Connect with Me

• 💼 LinkedIn: https://linkedin.com/in/mohamedyehia
• 📧 Email: mohamedyehia56170@gmail.com