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Sagar Srinivas Sakhinana

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#artificial intelligence Preprint Aug 2026

Graph, Loop, and Harness Engineering for Zero-Trust Agentic Data Engineering and Analytical Processing

This work evaluates two zero-trust frameworks under nominal execution, controlled failures, bounded recovery, and policy-constrained conditions, measuring verified completion, recovery, authorization enforcement, production promotion, and verified OLAP execution.

Sagar Srinivas Sakhinana, Venkataramana Runkana · 0 citations
#artificial intelligence Preprint Sep 2026

Grounded and Faithful P&ID Reasoning: Constraining Vision-Language Models with Recovered Evidence Graphs

Graph-Grounded Harness (The authors') recovers an explicit graph of the drawing---its symbols, the process connections between them, and the tags that name them---and then requires the model to answer only by querying that graph through seven read-only operators, so a topology claim is returned only when it cites the q...

P. Gadekar, Sagar Srinivas Sakhinana, Venkataramana Runkana · 0 citations
#artificial intelligence Preprint Aug 2026

Towards Agentic Cloud Engineering: Graph and Loop Engineering with a Zero-Trust Agent Harness

The framework provides a unified engineering architecture for cloud-based workflows spanning Agentic DevOps, Agentic CloudOps, Agentic SRE/AIOps, Agentic SecOps, Agentic DataOps, Agentic MLOps/LLMOps, AgentOps, Agentic RAG/GraphRAG, and related cloud-engineering domains.

Sagar Srinivas Sakhinana, Venkataramana Runkana · 0 citations
#artificial intelligence Review Aug 2026

Forward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps

This work presents an evidence-gated multi-agent framework for transforming a natural-language MLOps cloud engineering task into a verified repository and operational cloud deployment and results show that the framework prevents unsupported lifecycle transitions and drives each run toward either a verified operational...

Sagar Srinivas Sakhinana, Venkataramana Runkana · 0 citations

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