Shyam Kumar

I am a Lead AI Architect and Data Scientist with 11+ years of experience designing and delivering production-grade AI, Machine Learning, Generative AI, and Agentic AI systems for enterprise environments.

My current focus is on architecting enterprise GenAI and agentic systems using LangGraph, LangChain, CrewAI, AWS, Databricks, RAG, LLM orchestration, and serverless architectures. I specialize in turning LLM capabilities into reliable production systems with stateful workflows, tool calling, human-in-the-loop governance, security, observability, and scalable data infrastructure.

At ADP, I have architected hierarchical multi-agent systems for payroll orchestration, LLM-powered client onboarding agents, and enterprise Agentic RAG solutions. My work has included ReAct-based agent workflows, dynamic API and database interactions, Text-to-SQL, AWS Lambda, Databricks Vector Search, Unity Catalog, semantic and episodic memory, and HITL approval workflows.

I bring a strong combination of hands-on engineering and technical leadership. I have mentored Data Scientists and Machine Learning Engineers, standardized LLMOps practices, and helped teams build scalable AI applications with robust CI/CD and production governance.

Some of the outcomes I have delivered include reducing onboarding time by 50%, reducing manual testing effort by 70%, reducing AI token expenditure by 45%, improving deployment velocity by 35%, reducing test identification time by 70%, and reducing manual insurance processing effort by 70%.

I am currently looking for a full-time remote opportunity where I can contribute as an AI Architect, Lead AI Engineer, Lead Data Scientist, or GenAI/Agentic AI Architect. I am particularly interested in organizations building production AI platforms, enterprise GenAI applications, intelligent automation, multi-agent systems, RAG platforms, and AI-powered products.

I am based in India and available for global remote teams, with flexibility for collaboration across IST, CET, EST, and PST working hours.