Madhurima Ranaveni

I’m a software engineer with 2 years of experience building high-volume financial data systems at S&P Global, specializing in .NET, C#, and SQL Server. I focus on designing microservices architectures, optimizing complex data schema, and delivering production APIs within Agile teams.

At S&P Global, I built a RAG-based log analysis agent using the company’s LLM API, vector embeddings, and FAISS, giving engineers a natural language interface to surface customer behavior patterns and complaint trends. I also reduced API response times by 30% by overhauling SQL Server schema and query execution plans through targeted indexing and data modeling, and engineered secure RESTful APIs across multiple internal products.

I’m currently expanding into AI-driven backend solutions, backed by academic depth in ML and active contribution to Generative AI initiatives at enterprise scale. I enjoy driving AI adoption through practical tooling and workflows—like MCP tooling, prompt engineering workflows, and CI/CD automation—so teams spend less time on repetitive work and more time shipping high-impact features.