With over a decade of experience as a System Analyst architecting scalable full-stack .NET solutions of microservices with clean architecture, I am now channeling my expertise into the field of AI Engineering like ML, DL, and Generative AI projects. My focus is on developing robust, AI-driven applications that solve complex, real-world problems. This transition is exemplified by my work on predictive models that leverage machine learning to deliver actionable insights from complex datasets.

My technical proficiency is rooted in a deep understanding of enterprise systems using C#, ASP.NET, MVC, Web API, .NET Core, Angular, and multiple database technologies (SQL Server, PostgreSQL, MongoDB, Radis). I am now integrating this foundation with advanced skills in Python, PyTorch, and Transformer models to build and deploy intelligent solutions. My recent projects include developing predictive algorithms with high accuracy, demonstrating my ability to translate data into tangible outcomes.

A key strength throughout my career has been bridging the gap between technical teams and business stakeholders. I excel at translating complex requirements into clear, actionable development plans, ensuring that the final solution is not only technically sound but also perfectly aligned with user needs and business goals.