Reda E.

Software engineer with over 10 years of experience in developing scalable, high-performance applications using Python, .NET, and cloud-native technologies on AWS, GCP, and Azure, leveraging GPU computing power for AI on Vast.ai and RunPod platforms.

🔷 Advanced Cloud Application Proficiency: Designed and implemented distributed systems using both microservices and monolithic architectures, building RESTful APIs with asynchronous task processing and distributed workflows via Celery, RabbitMQ, and Valkey to enhance responsiveness and manage high-concurrency workloads. Containerized applications using Docker, Podman, and containerd, and managed container orchestration with Kubernetes

🔷 Expert Cloud Automation and CI/CD Proficiency: Deployed and managed cloud infrastructure on AWS, GCP, and Azure, implementing end-to-end CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, and AWS CodePipeline with integrated testing, security scanning, and production deployment.

🔷 Expert Database Tuning and Optimization: Optimized database performance through query tuning and optimization, working extensively with PostgreSQL, AWS RDS, and Elasticsearch

🔷 Advanced GPU Optimization: Optimized NVIDIA GPU performance by leveraging Multi-Process Service (MPS) with VRAM scheduling and background task distribution, along with concurrent kernel execution, across various GPU platforms including Vast.ai and RunPod.

🔷 Experience in Building Data Streams: Created and maintained real-time data streaming pipelines using Kafka and Apache Spark; the entire pipeline was orchestrated using Apache Airflow.

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