yehia shaikhoun

-Designed Kubernetes architecture for a Flask + MySQL app with ConfigMaps, Secrets, Deployments, Services, Ingress, and persistent storage. -Developed testing & production overlays (Minikube-compatible testing and scalable production with replicas, rate limiting, and resource limits). -Built CI/CD pipelines with automated testing (90% coverage), code quality checks, secret scanning (Gitleaks), security analysis (CodeQL), vulnerability scanning (Trivy), and Docker image builds/push. -Provisioned AWS infrastructure using Terraform (VPC, subnets, EC2 cluster, security groups, ECR, SSH keys). -Automated K3s cluster setup with Ansible, enabling streamlined deployments via Kustomize. -Enhanced observability & troubleshooting with health probes, logging, and future roadmap (Prometheus, Grafana, backups).

-Won Best Pitch Award during 72-hour sprint Hackathon for IntelliBot, a real-time Q&A system usingnatural language to query structured (Azure SQL) and unstructured (Blob Storage) data. -Provisioned and configured Azure services: **Azure Blob Storage for ingesting PDFs, DOCX, XLSX, and TXT files. **Azure SQL Database for relational data queries. -Designed a containerized microservice architecture and deployed backend services on Azure App Service with Docker. -Implemented Retrieval-Augmented Generation (RAG) using Azure AI Search + OpenAI GPT-4.1 for natural language answers. -Enabled multi-tenant support with strict data isolation and RBAC, ensuring secure access for multiple organizations. -Developed a .NET Core boilerplate replicating Python logic, supporting future migration into IPMagiX’s .NET ecosystem. -Built and executed load testing with Locust: **Simulated 100 requests/sec with 10 concurrent users. **Achieved ~300ms average response time, well below the sub-2s SLA.

- Placed third on the DevOps track. - Developed and deployed a full-stack Library system using Flask, focused on responsive web design. - Dockerized the application and pushed the image to Docker Hub for efficient container management. - Implemented Infrastructure as Code (IaC) using Terraform to set up an AWS EKS cluster and related resources. - Automated Kubernetes deployments on EKS for streamlined application delivery. - Built and maintained a CI/CD pipeline using Jenkins to automate the deployment process. - Integrated SonarQube for continuous code quality analysis and optimization. - Utilized Trivy for comprehensive security vulnerability scanning of Docker images. - Leveraged shared libraries to enhance the automation and modularity of the CI/CD pipeline. - Deployed Prometheus and Grafana for real-time application monitoring and alerting.

- Built 3 responsive websites as part of the internship, each demonstrating different technologies and features. - Developed a portfolio website using HTML, JS, JSON, and CSS, with a focus on responsive design. - Created an e-commerce app, "Simple Look," with features like image sliders, user registration, validation, and cart calculation, utilizing JSON data. - Designed a clinic website for doctor search and profiles, using Django and PostgreSQL for backend management, with a responsive frontend built in HTML, CSS, and JavaScript. - Learned and applied PostgreSQL for database management, Python for backend logic, and Django as the web framework in building the clinic website. - Implemented models, views, and templates, ensuring smooth interaction between frontend and backend. - Enhanced skills in database design, API integration, and web application development with real-world projects.

At EZZSTEEL, I developed extensive experience and familiarity thoughout the implemented pages utilizing the Oracle database for managing sales, inventory, and procurement operations. Additionally, I obtained experience with various user interfaces to improve data accessibility and streamline company-wide operations.

- Developed key pages for the USAM website, contributing to the platform's mission of empowering Arab students through quality education. - Integrated APIs to fetch and display dynamic content, enhancing the website's usability. - Optimized codebase for performance and scalability, adhering to best practices and coding standards-

- Applied state-of-the-art deep learning techniques for analysis of satellite imagery. - Enhanced air quality prediction models by deriving meaningful insights from analysis of satellite data.

- Focused on database management and infrastructure development process within a banking environment. - Gained hands-on experience in optimizing security, data management, and performance for bank-specific software applications.