Ezra Bekele

o Train and evaluate large language models (LLMs) to improve code generation quality – directly applicable to LLM integration and agentic AI workflows. o Perform iterative prompt‑response testing with two AI models in parallel, analyzing correctness, efficiency, and style – similar to A/B testing for conversational AI. o Implement RAG‑like validation by reviewing AI‑generated code against repository context, issue descriptions, and test suites. o Use Claude HFI (comparable to Claude Code and Amazon Q Developer) to initialize model evaluation sessions, authenticate via OAuth, and track session IDs for reproducibility. o Build Docker containers for each repository, pin dependencies, and run test suites after each model iteration – ensuring cloud‑ready, reproducible environments. o Automate evaluation pipelines with Git (commit using standardized credentials) and CI/CD principles (test pass rate monitoring). o Generate embeddings of best‑practice solutions to guide future AI outputs – foundational experience for vector database and semantic retrieval systems. o Package and submit completed training tasks with full logs, session IDs, and prompts – demonstrating strong documentation and workflow automation.

o Developed responsive and dynamic user interfaces using React.js, Next.js, Vue.js, and modern UI frameworks like Tailwind CSS, Bootstrap 5. o Built cross-browser compatible pages with HTML5, CSS3, JavaScript, and TypeScript to deliver smooth user experiences. o Collaborated with designers and engineers to improve development workflows and resolve UI/performance issues efficiently. o Troubleshot and maintained web applications to ensure stability and uninterrupted functionality. o Developed backend services and APIs using Node.js, Express.js, Nest.js, Python, Django, .NET, and GraphQL. o Implemented RESTful APIs to support user interactions, authentication, and real-time features. o Built and maintained CI/CD pipelines using GitHub Actions, Azure DevOps, and Jenkins for automated testing and deployment. o Used Docker extensively for containerization, environment consistency, microservices development, and streamlined deployment workflows. o Implemented comprehensive unit and integration tests using Jest, Mocha, NUnit, PyTest, and other testing frameworks to ensure code reliability and maintainability. o Deployed applications to AWS and Azure, ensuring scalability and reliability.

o Proficient in full-stack development using React.js, Next.js, Nest.js, and TypeScript for robust frontend and backend solutions, with additional experience building backend services using Python, C#, and the .NET framework. o Specialized in performance optimization to ensure scalable, efficient, and high-quality applications across JavaScript, Python, and .NET codebases. o Skilled in database management, especially PostgreSQL, with a strong focus on data integrity, optimized queries, and effective integration with both Python- and .NET-based systems. o Experienced in building responsive, intuitive UIs using Tailwind CSS, HTML5, CSS3, and SCSS. o Proficient in deploying and managing applications on AWS and Azure, ensuring reliability, security, and scalability for multi-language environments. o Extensively used Docker for containerization, environment consistency, microservices orchestration, and streamlined deployments across multiple tech stacks. o Implemented comprehensive unit and integration tests using frameworks such as Jest, Mocha, NUnit, and PyTest to ensure code reliability, maintainability, and high test coverage. o Integrated third-party services such as Plaid, Stripe, Twilio, and other APIs to enhance application functionality and user experience across diverse tech stacks, including Python and .NET services.