AgentCamp - Noida
🚀 AgentCamp – Intelligent Agents & AI Engineering
AgentCamp celebrates the power of intelligent agents and AI innovation across local communities worldwide.
This event brings together engineers, researchers, and AI practitioners to explore how modern AI systems are designed, optimized, and deployed in real-world environments. Through hands-on workshops, expert-led sessions, and practical engineering insights, we’ll dive into the future of agentic systems, LLM optimization, AI-assisted development, and AIOps automation.
Whether you're building production AI systems or just starting your journey into agent-based architectures, AgentCamp is the place to learn, connect, and build what’s next.
🗓 Agenda
10:00 – 10:30
Registration
10:30 – 11:00
How Smart AI Agents Think, Act, and Automate Tasks for You
Sunny Sharma
11:00 – 13:00
Using Optimizers with LLM
Nirmal Vatsyayan & Khush Joshi
13:00 – 14:00
🍽 Lunch & Networking
14:00 – 14:30
AI-Assisted Engineering: A Working Engineer's Playbook
Satyam Mishra
14:30 – 15:00
Build Your Own AIOps Agent Using MCP
Shiv Kumar Sah
📚 Session Details
1️⃣ Using Optimizers with LLM
Nirmal Vatsyayan & Khush Joshi
This hands-on workshop explores how optimizers can be used with LLMs to improve output quality and train closed-source models effectively. Participants will learn how to leverage the LLM-as-a-Judge technique and GEPA to refine results and enhance performance. The session also covers creating LLM-agnostic prompts and improving smaller LLM outputs by distilling knowledge from larger models.
Pre-requisites:
Your own LLM API key (examples will use OpenAI)
Access to the shared workshop codebase
2️⃣ AI-Assisted Engineering: A Working Engineer’s Playbook
Satyam Mishra
AI coding tools generate working code quickly — but production-ready systems require more discipline. This session introduces two critical skills: spec-driven development (a six-part framework that reduces iteration cycles dramatically) and adversarial code review (a five-point checklist that catches logic, security, and dependency risks before deployment). Includes a hands-on exercise where participants write a real spec and evaluate AI-generated code.
3️⃣ Build Your Own AIOps Agent Using MCP
Shiv Kumar Sah
Modern infrastructure is complex and reactive. In this session, you’ll learn how to build a privacy-first AIOps agent using the Model Context Protocol (MCP). The talk covers MCP architecture, local LLM execution with Ollama, and real-world applications such as log analysis, system health scoring, and performance monitoring. Attendees will leave with a practical blueprint for building on-prem AI agents for infrastructure automation.
4️⃣ How Smart AI Agents Think, Act, and Automate Tasks for You
Sunny Sharma
AI agents are more than chatbots — they can understand a goal, use tools, and take real actions inside your systems. In this session, we’ll explore how they decide what to do, call APIs, retrieve data, and automate tasks step by step. You’ll leave with a simple, practical understanding of how agent systems actually work in real engineering environments.
👨💻 Speakers
Nirmal Vatsyayan
Nirmal Vatsyayan leads Research & AI at HROne and brings over a decade of experience building scalable AI-driven products. A two-time founder, patent holder, and Y Combinator Startup School graduate, he has built and led high-impact engineering and data science teams across SaaS, HRTech, EdTech, and AI-first startups.
LinkedIn: https://www.linkedin.com/in/nirmal-vatsyayan-65189016
Khush Joshi
Khush Joshi specializes in supervised and unsupervised learning, deep learning, and generative AI. With hands-on experience building predictive models, neural networks, and automated machine learning systems, he focuses on transforming complex datasets into scalable, real-world AI solutions.
🔗LinkedIn: https://www.linkedin.com/in/khush-joshi-b4501724b
Satyam Mishra
Satyam Mishra architects conversational AI systems on the OneAI platform, including employee self-service agents, policy automation, OCR systems, and workflow orchestration. His work spans production-grade RAG systems, vector databases, and multi-agent architectures built using LangGraph, FastAPI, and modern LLM stacks. Previously, he developed recommendation systems, computer vision solutions, and voice agents across multiple industries.
🔗LinkedIn: https://www.linkedin.com/in/satyamml
Shiv Kumar Sah
Shiv Kumar Sah is a platform engineer specializing in Kubernetes, AI-Ops, LLM infrastructure, and large-scale automation. At Adobe, he designs and operates high-availability Kubernetes and OpenShift platforms, builds automation frameworks, and develops AI-driven incident remediation systems. With 15+ years of experience and an M.Tech in Cloud Computing from IIT Patna, his work focuses on AI-powered infrastructure and intelligent automation.
🔗LinkedIn: https://www.linkedin.com/in/shivkumarsah
Sunny Sharma
Sunny Sharma is a seasoned cloud and solutions architect with over a decade of experience building reliable, scalable systems across DevOps, observability, and automation domains. He focuses on practical engineering and system design, helping teams move from tools to thoughtful architecture. Sunny is passionate about breaking down complex technical ideas into clear, actionable insights that help engineers build smarter and more resilient systems.
🔗LinkedIn: https://www.linkedin.com/in/sunnyksharma
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