Open to opportunities

Manish Kumar Rai

@manishkumarrai

Message

Software engineer building LLM-powered agentic systems and production web applications.

India

Message

What I'm looking for

I’m looking for a team where I can ship LLM-powered agentic systems end-to-end—designing orchestration (LangGraph), prompt/RAG, and production web apps—while iterating in Agile and delivering measurable user impact.

I’m a software engineer with 2+ years of experience building LLM-powered agentic systems and production web applications. I’ve architected a multi-agent orchestration framework using LangGraph, Python, and SAP BTP, coordinating specialized agents for real-world enterprise workflows.

I delivered conversational AI platforms for 30,000+ users using React.js and TypeScript. In my recent work, I validated end-to-end functional flows (IS-U) and designed MVP architecture, then built and demonstrated a multi-agent orchestration architecture for customer/CSR enrollment using LangGraph, Python, SAP BTP, Next.js, Express.js, and Socket.IO.

I’m especially passionate about applied AI, prompt engineering, and building intelligent systems at scale. I also enjoy pairing strong frontend state/data management with AI integration—optimizing latency with patterns like React Query and Redux—and I’ve contributed to award-winning projects like handwriting recognition.

Experience

Work history, roles, and key accomplishments

Current

Packaged App Dev Associate

Current

Accenture

Oct 2024 - Present (1 year 9 months)

Validated SAP IS-U Budget Billing functional flows and designed an MVP architecture for product enrollment, extending it toward a reusable multi-agent framework. Built and demonstrated an AI-driven multi-agent orchestration architecture for IS-U customer/CSR enrollment using LangGraph, Python, SAP BTP, and a Next.js/Express.js web app (approved for BTP implementation).

Generative AI Multi agent orchestration LangGraph Python SAP BTP Next.js Socket.IO Prompt Engineering

Hybrid Software Engineer

Oriserve

Mar 2024 - Oct 2024 (7 months)

Delivered AI-driven conversational flows for Deloitte’s voicebot using React.js and TypeScript, and supported implementation across 10+ enterprise use cases. Designed WebKit-compatible chat interfaces and optimized bot data synchronization with React Query and Redux, supporting 30,000+ active users with 100% UI consistency.

React TypeScript Conversational AI Voicebots React Query Redux hooks

Education

Degrees, certifications, and relevant coursework

Ajay Kumar Garg Engineering College

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: CGPA: 8.15

Activities and societies: Relevant coursework: Operating Systems, Data Structures, Analysis of Algorithms, Artificial Intelligence, Machine Learning, Networking, and Databases.

Earned a Bachelor of Technology in Computer Science and Engineering (2020–2024) at Ajay Kumar Garg Engineering College, achieving CGPA 8.15.