I'm Sai Krishna — an AI Engineer and builder from Andhra Pradesh, India 🇮🇳.
I've spent 4+ years turning hard problems into working systems — RAG pipelines that actually retrieve the right thing, AI agents with reliable tool-calling, data pipelines that move terabytes without breaking. I gravitate toward the engineering layer that makes AI useful in production, not just in demos.
When I'm not deep in a codebase, I'm usually thinking about distributed systems, orchestration, or the next thing I want to build.
At Guidizy (UK), I led the AI feature set — a LangChain-based chatbot with RAG over customer PDFs, shipped to production. Designed multi-tenant access control, optimized cache strategies, managed a sub-team of 4.
At LTI Mindtree, I built ETL pipelines on AWS (S3 + MWAA + ECS) processing multi-terabyte datasets and internal tooling used by thousands of engineers.
Currently building Deep Surface — an AI-native Attack Surface Management platform with LLM agents that call real security tools, Temporal-orchestrated workflows, and JanusGraph for relationship-aware asset modeling.
AI Engineer or Applied ML Engineer roles where LLMs are core product infrastructure, not a feature bolt-on. Interested in agent reliability, RAG quality, and LLM orchestration at scale.