SAKTHIKUMAR VELUMANI

Senior Engineering & AI Transformation Leader with 20 years of experience leading enterprise engineering delivery, AI-first transformation programs, large-scale modernization initiatives, and high-performing global teams. Proven expertise in building and scaling AI-centric Offshore Development Centers (ODCs), driving multimillion-dollar portfolios, and transforming enterprise delivery using Generative AI, Agentic AI, RAG architectures, and knowledge-driven engineering platforms.

Experienced in leading large distributed engineering organizations (50–140+ engineers), modernizing enterprise ecosystems across .NET, Java, C++, Cloud, SaaS, and Microservices platforms, while simultaneously driving AI adoption at scale across SDLC, operations, onboarding, architecture, and consulting workflows.

Strong combination of business leadership, technical depth, financial accountability, client relationship management, and innovation strategy. Recognized for building strong engineering culture, enabling AI-led productivity transformation, driving strategic account growth, and delivering production-grade AI platforms with measurable business outcomes.

• Pre-Sales, Solutioning & Account Expansion
• Delivery Governance, P&L & Operational Excellence
• Enterprise Architecture & Platform Engineering

• Led multiple enterprise Generative AI initiatives from ideation and POC stages to full production deployment.
• Successfully delivered multiple production-grade GenAI solutions with measurable business impact across engineering, consulting, SDLC, and support workflows.
• Drove organization-wide GenAI enablement initiatives including AI adoption programs, innovation frameworks, internal accelerators, and AI-driven productivity transformation.
• Established AI innovation culture by enabling rapid experimentation → MVP → production execution model.

• Designed and implemented Agentic AI solutions leveraging multi-agent orchestration frameworks using LangChain and LangGraph.
• Built enterprise AI systems integrating RAG pipelines, vector databases, enterprise knowledge bases, semantic search, and Knowledge Graph architectures.
• Led AI architecture initiatives involving prompt engineering, contextual retrieval, workflow orchestration, reasoning pipelines, and enterprise AI governance.
• Developed AI-enabled onboarding and knowledge management systems to improve engineering ramp-up and organizational productivity.

• Led development of a GenAI-powered consulting response generation platform capable of creating intelligent multi-page proposal/PDF/PPT responses within minutes.
• Built using RAG, Knowledge Graphs, Agentic AI, LangGraph-based multi-agent orchestration, and enterprise knowledge systems.
• Integrated multiple internal and external knowledge sources with Human-in-the-Loop (HITL) validation workflows.
• Reduced proposal preparation cycle from 3–4 weeks to ~20 minutes.

• Architected an Agentic AI-based enterprise knowledge assistant supporting developers, product owners, and support teams.
• Integrated Jira, Confluence, Community Articles, and Source Code repositories using GraphRAG and AI agents.
• Enabled intelligent issue resolution, duplicate defect analysis, suggested fixes, and contextual product understanding.
• Significantly improved engineering productivity and reduced customer support dependency.

• Led development of GenAI-powered SDLC accelerators for test case generation, gap analysis, and agile delivery automation.
• Built AI-powered “PO Assist” solution to generate epics, user stories, and backlog artifacts using RAG, Knowledge Graphs, and enterprise LLM workflows.
• Integrated Jira MCP connectors, enterprise delivery knowledge bases, and AI orchestration pipelines.

• Led multiple GenAI POCs, engineering accelerators, onboarding assistants, modernization copilots, and AI productivity tools.
• Enabled teams with reusable AI frameworks, prompt libraries, Agentic AI workflows, and enterprise GenAI enablement programs.
• Mentored engineering teams on RAG, multi-agent orchestration, LangChain, LangGraph, and enterprise AI solution architecture.

Generative AI | Agentic AI | Multi-Agent Orchestration | LangChain | LangGraph | RAG | GraphRAG | Knowledge Graphs | Azure OpenAI | LLM Orchestration | Prompt Engineering | Semantic Search | AI Agents | Vector Databases | AI Governance | AI-driven SDLC| LLM Orchestration | Prompt Engineering | Semantic Search | AI Agents | Vector Databases | AI Governance | Multi-Agent Systems | AI-driven SDLC | Enterprise AI Platforms