Arun S.

About Arun S.

Enabling enterprise finance transformation across regions through Agentic AI, Generative AI, and Hyperautomation, leveraging 20+ years’ experience in large-scale delivery, due diligence, and AI-driven operational excellence.I lead enterprise-scale finance and digital transformations across Sectors( BFS, F&A - PTP,OTC,RTR ),Insurance, Healthcare, Pharma, Procurement, Travel, Power, Oil & Gas, Paper ) powered by Agentic AI, Generative AI, and Hyperautomation. I specialize in multi-agent orchestration, LLMOps architectures, and LangChain / LangGraph / Python frameworks that enable scalable, autonomous, and context-aware decision systems.I design modular Agentic AI architectures integrating vector databases, semantic embeddings, RAG pipelines, and event-driven microservices, and have delivered large-scale programs across SAP BTP, Oracle AI Agent Studio, Azure AI Foundry, Semantic Kernel, and Accenture AI Refinery. My focus spans cost-optimized, composable ecosystems using API gateways and containerized inference stacks on NVIDIA H-100, A100 GPU, OCI, SAP Joule, and Azure OpenAI Service.Research experience on LoRA, FunLoRA, and PEFT for parameter-efficient fine-tuning, model compression, and adaptive RAG, enabling sustainable LLM scalability. I curate instruction-tuned, domain-specific, and synthetic datasets for bias-controlled training and domain-adaptive reasoning.I also advance LLM benchmark research using custom enterprise evaluation suites to measure reasoning, factuality, and coherence. Correlating benchmark metrics with production telemetry, I build continuous-evaluation pipelines that ensure trust and transparency within LLMOps frameworks.Passionate about applied AI science and autonomous workflow intelligence, I drive innovation through Agentic AI research, scalable architecture, and real-world enterprise adoption.Experience in establishing Big Data and AI CoE across Oil and Gas, Paper Industry, Power Industry, Safety Systems, DCS, SCADA Protocols - OPC, IEC 101/104/61850 / CENELAC standards. Worked on ABB 800 xA, Microscada, SCADA Vision, GE Alstom ALSPA and Invensys Triconex PLC systems and application development.

Experience

1. Enterprise Finance Transformation Using Agentic Ai Generative Ai Digital Transformation

   Accenture

   Jul 2025 — Present · Bangalore Urban, IN

   Managing Agentic AI for Enterprise Finance processes. Agentic AI Business Assessment, Functional and Technical Due Diligence and Execution for Large / Mega Scale Business Transformation.

Education

• Cornell University

  Business, Management, Marketing, and Related Support Services

• Carnegie Mellon University

  Tepper School of Business, AI and Gen AI for Business Leaders

• Uttar Pradesh Technical University

  Master of Computer Applications - MCA, Computer Science