Developed AI-powered solutions using Microsoft .NET Semantic Kernel to help automate business tasks and improve user productivity. Built intelligent AI agents that can understand user requests, retrieve relevant information from documents and databases, and generate accurate responses using Large Language Models (LLMs).
Integrated AI models such as Azure OpenAI and Ollama with .NET applications to provide features like document Q&A, content generation, summarization, and workflow automation. Implemented Retrieval-Augmented Generation (RAG) so the AI could answer questions based on company documents instead of relying only on its pre-trained knowledge.
Created reusable plugins and APIs to connect the AI agent with internal applications, databases, and external services. Focused on building scalable, secure, and easy-to-maintain solutions using ASP.NET Core, C#, and modern software development practices.
Worked closely with business and technical teams to identify AI use cases, improve response quality through prompt engineering, and optimize application performance. Followed Agile methodologies and participated in code reviews, testing, and deployment using Azure DevOps.
Technologies: C#, .NET 8, ASP.NET Core Web API, Microsoft Semantic Kernel, Azure OpenAI/Ollama, RAG, SQL Server/PostgreSQL, Azure Services, Git, Azure DevOps.