My Expertise
I specialize in orchestrating the entire Software Development Life Cycle (SDLC) for Generative AI solutions. My work involves integrating AI models into enterprise systems, designing scalable infrastructures, and ensuring efficient DevOps practices. By leveraging modern CI/CD pipelines, containerization with Docker, and orchestrators like Kubernetes or OpenShift, I help teams deliver robust AI-driven applications.
Design
In my AI-focused projects, I blend advanced ML frameworks (primarily Python-based) with containerization and microservices. My role covers solution architecture, model optimization, and system design to ensure that each generative AI model is production-ready, scalable, and aligned with agile delivery methods.
Code
I write Python for deep learning and generative modeling, complemented by Bash scripting for automation. Additionally, I employ Jenkins pipelines, Git for version control, and orchestrate builds across AWS or on-premise solutions. My expertise includes database integrations (MySQL, Oracle, MSSQL) and the creation of RESTful APIs for AI-based functionalities.
Tools
I rely on Docker for container builds, Jenkins for continuous integration, and Git for code management. In parallel, I use Agile/Scrum methodologies to plan, develop, test, and deploy generative AI solutions. This toolchain allows me to merge AI innovation seamlessly with proven SDLC best practices.