You will get custom agentic ai systems to automate your business workflow

Project details
I build AI agent systems that make intelligent decisions as an informed human would - so your team's productivity can boost and you deliver higher quality work. I build end-to-end agentic AI systems for businesses: multi-agent pipelines, RAG assistants, and full-stack AI apps ready to ship. This includes domain-specific engineering applications: quality control, design-to-manufacture automation, field ops insights, and predictive maintenance where engineering logic and AI reasoning work together.
What I build:
Multi-Agent Pipelines: Role-based agents with memory, tool use, and human-in-the-loop control
RAG-Powered Assistants: Your documents and databases connected to an AI that retrieves and produces grounded response
Stack: LangChain, OpenAI Agents SDK, n8n, FastAPI, Supabase, NextJS, AWS, Vercel, Python, TypeScript, MCP
Every delivery: working deployment · documented codebase · at least one revision round.
Message me your workflow or product idea - I'll tell you exactly what I'd build.
What I build:
Multi-Agent Pipelines: Role-based agents with memory, tool use, and human-in-the-loop control
RAG-Powered Assistants: Your documents and databases connected to an AI that retrieves and produces grounded response
Stack: LangChain, OpenAI Agents SDK, n8n, FastAPI, Supabase, NextJS, AWS, Vercel, Python, TypeScript, MCP
Every delivery: working deployment · documented codebase · at least one revision round.
Message me your workflow or product idea - I'll tell you exactly what I'd build.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Microsoft 365 Copilot, PyTorch, TensorFlowAI Models
ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 7 days | 21 days | 45 days |
Number of Revisions | 1 | 2 | 1 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | |||
Model Deployment | |||
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code |
Frequently asked questions
About Manu
Agentic AI Automation | Full Stack Developer
Bengaluru, India - 8:54 am local time
What I build:
Multi-agent systems — Role-based agents with memory, tool use, and human-in-the-loop control. Coordination logic built in, not hacked on. (LangChain, OpenAI Agents SDK)
RAG pipelines — Your documents, databases, and domain knowledge connected to a retrieval layer that gives grounded, citable answers — not hallucinations. (Supabase, vector stores, FastAPI)
Full-stack AI applications — From inference backend to deployed UI. (NextJS, FastAPI, AWS/Vercel, Docker, TypeScript/Python, Modal, Runpod)
Tech Stack:
LangChain · OpenAI Agents SDK · n8n · FastAPI · Supabase · NextJS · AWS · Vercel · Python · TypeScript · MCP · Docker
MCP + n8n automation — Agent-to-tool integrations and workflow orchestration done smoothly
I'm good at
· understanding your problems & developing business solutions catering to it
· maintaining meaningful communication & responsible work ethics
I come from Ivy League Penn & premier tech institutes across the world, so you can expect the highest quality of work. Let's keep in touch.
Steps for completing your project
After purchasing the project, send requirements so Manu can start the project.
Delivery time starts when Manu receives requirements from you.
Manu works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Workflow Analysis
Understand the client's business goals, bottlenecks, and success metrics. Map current workflows, data sources, systems, and manual tasks.
Design, Build & Integrate
Design the AI architecture, agent workflows, and system integrations. Implement testing, monitoring, and human-in-the-loop controls where needed.



