Naveen Singh profile photo 1 on Tal

Naveen Singh

AI Engineer | Agentic AI, RAG Pipelines, Multi-Agent Systems | Azure AI | Semantic Kernel | MCP

Delhi

4+ years of work experience

Optimus Information Inc.
Oct 20241 yr 8 mosPresent

On-site

Entrepreneurship Cell, MSIT
Aug 202311 mosJun 2024

Entrepreneurship Cell, MSIT
Dec 20211 yr 8 mosJul 2023

Hult Prize MSIT
Jan 202210 mosOct 2022

Naveen’s AI Stack

aistudio
aistudio
langchain
langchain
langgraph
langgraph
openai
openai

Education

Maharaja Surajmal Institute Of Technology

Bachelor of Technology - BTech, CSE

Maharaja Surajmal Institute Of Technology

20214 yrs2025
Delhi Public School Ghaziabad Society

XII th, Non Med

Delhi Public School Ghaziabad Society

20182 yrs2020

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Headline

AI Engineer | Agentic AI, RAG Pipelines, Multi-Agent Systems | Azure AI | Semantic Kernel | MCP

About

AI Engineer specializing in Agentic AI and multi-agent orchestration, focused on building intelligent systems that can plan, reason, and act autonomously in real-world environments. My work centers around designing and implementing production-grade agent ecosystems, where multiple AI agents collaborate through structured workflows—sequential, parallel, and human-in-the-loop—to solve complex problems with reliability and scale. I focus on building systems that: • Orchestrate distributed agents for coordinated decision-making • Enable dynamic workflows with state management, checkpointing, and recovery • Incorporate human-in-the-loop for low-confidence scenarios to ensure control and trust • Leverage Retrieval-Augmented Generation (RAG) for grounded, context-aware reasoning • Empower agents with tool-calling capabilities to interact with APIs and external systems My approach goes beyond single LLM applications to agent ecosystems, where specialized agents share context, maintain memory, and execute tasks end-to-end. Core areas of interest: • Multi-Agent Systems & Orchestration • Agent Planning, Memory, and Tool Use • Retrieval-Augmented Generation (RAG) • Distributed and event-driven AI architectures • Reliability, observability, and governance in AI systems Tech Stack: Python | C# | FastAPI | .NET | Semantic Kernel | Microsoft Agent Framework | LangGraph | Azure OpenAI | Azure AI Search | Cosmos DB Interested in building and scaling autonomous systems that augment or replace complex human workflows.

Location

Delhi

AI stack

aistudio

langchain

langgraph

openai

Work experience

Software Engineer Trainee at Optimus Information Inc., Oct 2024 - Present · 1 yr 8 mos, On-site

Executive Head (Events) at Entrepreneurship Cell, MSIT, Aug 2023 - Jun 2024 · 11 mos

Event Management TeamMember at Entrepreneurship Cell, MSIT, Dec 2021 - Jul 2023 · 1 yr 8 mos

Event Coordinator at Hult Prize MSIT, Jan 2022 - Oct 2022 · 10 mos

Education

Bachelor of Technology - BTech, CSE, Maharaja Surajmal Institute Of Technology

XII th, Non Med, Delhi Public School Ghaziabad Society

Public links

github: https://github.com/naveens1-optimus