Anuj Saini

Anuj Saini

Director Data Scientist

About

Anuj Saini is an AI practitioner with over 15 years of experience in machine learning, natural language processing, and deep learning. His work focuses on building practical, production-ready AI systems, with an emphasis on Generative AI, large language models (LLMs), and agentic workflows.

He has worked on end-to-end AI applications across areas such as Retrieval-Augmented Generation (RAG), model evaluation, and scalable deployment. His recent work includes designing agent-based systems using tools like LangGraph, along with integrating guardrails and observability frameworks for reliable AI systems.

Anuj is particularly interested in translating AI concepts into real-world solutions, focusing on system design, evaluation, and deployment patterns that are robust and maintainable.

This intensive 8-hour workshop takes engineering and data science teams from agent fundamentals to a fully deployed, evaluated, and guarded agentic system — using only open-source tools. The day is structured around six modules that build sequentially. Foundation modules (M1–M2) cover architecture and memory. The enterprise-grade modules (M3–M6) cover evaluation with DeepEval, safety enforcement with NeMo Guardrails and Llama Guard, observability with LangSmith, and a production deployment on Hugging Face Spaces with a Streamlit UI. By end of day every participant leaves with working code, configured tooling, and a deployed application. 

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