Hello!

I’m Sravanth, a data scientist with more than a decade of experience turning complex data into useful decisions across the financial-services industry.

I focus on practical AI engineering: LLM systems, knowledge graphs, document intelligence, Python, automation, and evaluation. I’m particularly interested in making AI outputs traceable and reliable—from ingesting complex documents to extracting evidence-backed relationships and testing systems before production.

On Medium, I publish implementation-first guides with runnable code, architectural decisions, and honest lessons from real projects. My current series, Policy Knowledge Graphs from First Principles, builds an end-to-end system covering document ingestion, ontology design, triplet extraction, verification, entity resolution, evaluation, and GraphRAG.

Whether you’re a data scientist, AI engineer, or developer exploring applied AI, my goal is to help you move from an interesting idea to a system you can understand, test, and trust.