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Kalyan Yenduri

@kalyanyenduri

Message

Agentic AI Systems Engineer building stateful multi-agent orchestration and production RAG pipelines.

India

Message

What I'm looking for

I want to work on production-ready agent systems—stateful multi-agent orchestration, RAG pipelines, and reliable LLM evaluation—where deterministic guardrails and automated testing/CI are part of the build process.

I build agent systems like EarningsIQ that turn SEC 10-Q filings, slide decks, and earnings call audio into fast investment briefs, with deterministic figure verification and hybrid retrieval over ChromaDB.

I’ve architected LangGraph state machines for multi-agent workflows and implemented autonomous tool calling with deterministic guardrails, plus automated CI/CD with GitHub Actions and unit/integration coverage for extraction, chunking, parsing, and state coordination.

On the evaluation side, I’ve built LLM-as-a-judge harnesses (and open-source AetherEval) to measure faithfulness, relevance, safety, groundedness/RAG, and tool-calling success—then used deterministic verification layers to improve reliability and latency.

I also contributed to an open-source agent SDLC orchestration platform, connecting a high-throughput FastAPI backend to PostgreSQL, Redis, Qdrant, Neo4j, and Elasticsearch through async adapters, while modeling repository structure into Neo4j graphs.

Experience

Work history, roles, and key accomplishments

Agentic AI Systems Engineer

Self Employed

Specialized in stateful multi-agent orchestration, autonomous tool execution, and production RAG pipelines. Delivered end-to-end AI agent systems with sub-second execution and automated CI/CD integration.