Naveen Uniyal
C# .Net Developer | WPF | Win Forms | MVVM | REST APIs | VB.NET | JIRA | NUnit | AGILE | SCRUM | XML | TDD | TFS | Git | TeamCity |
- Role
- Manager - Senior Professional Ii at Capgemini Engineering
- Location
- Gurugram, IN
- LinkedIn followers
- 500 followers
About Naveen Uniyal
I’m an Agentic AI Engineer specializing in autonomous workflows, multi-agent systems, and…
Experience
Manager - Senior Professional Ii
Jan 2025 — Present
Dark NOC is an AI-driven autonomous Network Operations platform designed to reduce manual NOC intervention by enabling self-healing, intelligent, and real-time operational workflows. The platform leverages Agentic AI, LLMOps, and GenAI orchestration to automate alarm correlation, incident analysis, root-cause detection, and resolution across large-scale telecom environments. Dark NOC integrates traditional NOC systems with next-generation AI orchestration using multi-agent collaboration, tool calling (function calling), RAG pipelines, and LLM-driven decision systems, ensuring hallucination mitigation, reliability, and scalable AI operations.Role & Responsibilities• Architected and implemented multi-agent systems and agentic workflows for autonomous NOC operations using LangChain, LangGraph, MCP, and FastMCP • Designed LLM-driven decision pipelines with prompt engineering, tool calling, and structured outputs for incident triage and root-cause analysis • Built and optimised end-to-end RAG pipelines, including data ingestion, chunking, embeddings, retrieval, re-ranking, and grounding • Implemented agentic orchestration patterns, including task decomposition, ReAct-based reasoning, memory management, and self-correction loops • Integrated AI agents with enterprise systems and REST APIs for automated workflow execution and APIorchestration • Developed scalable AI services using FastAPI and Python, deployed using Docker and cloud environments (Azure) • Designed knowledge-powered systems using vector databases and knowledge graphs (Weaviate, Neo4j, Apache Jena, SPARQL, Trino) • Applied LLMOps practices, including evaluation pipelines, observability, prompt optimisation, and cost/latency optimisation • Collaborated with stakeholders to implement Human-in-the-loop (HITL), guardrails, and reliable AI workflows aligned with enterprise standards
Skills
- Winforms
- C
- Ado.net
- C++
- Tfs
- Microsoft Sql Server
- Ms Vc++
- Visual Studio
- Java
- Asp.net
- Xml
- .net Compact Framework
- C#
- Vb.net
- Dll
- Windows Form Application
- Javascript
- .net
- Sql
- Desktop Application Development
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