You will get a LangGraph multi-agent system with FastAPI and human review queue
Top Rated
Top Rated
Project details
You will get a production-grade LangGraph multi-agent system built on FastAPI, with full
checkpointing, a human review queue, and Docker deployment — ready to run in your
environment from day one, not just a demo that works on my machine.
I have built this exact architecture for enterprise clients. One is KnowledgeTrainer, an
AI knowledge management platform where a LangGraph ingestion pipeline orchestrates
scraping, chunking, and indexing as a stateful graph — individual nodes retry without
re-running the full pipeline. The same checkpointing pattern handles frozen cases in a
human review queue with zero token re-spend on resume.
What separates my work from most freelancers: prompts live in config.yaml so you can
update agent instructions without touching Python. The FastAPI app runs in Docker with a
health check endpoint and restart policy so it does not go down quietly on a VPS reboot.
All agent paths are covered with pytest before handover — you receive a working test
suite, not just code that ran once.
I hold 100% Job Success Score on Upwork with $100K+ earned across 67 completed projects.
I respond within 4 hours and am available more than 40 hours per week.
checkpointing, a human review queue, and Docker deployment — ready to run in your
environment from day one, not just a demo that works on my machine.
I have built this exact architecture for enterprise clients. One is KnowledgeTrainer, an
AI knowledge management platform where a LangGraph ingestion pipeline orchestrates
scraping, chunking, and indexing as a stateful graph — individual nodes retry without
re-running the full pipeline. The same checkpointing pattern handles frozen cases in a
human review queue with zero token re-spend on resume.
What separates my work from most freelancers: prompts live in config.yaml so you can
update agent instructions without touching Python. The FastAPI app runs in Docker with a
health check endpoint and restart policy so it does not go down quietly on a VPS reboot.
All agent paths are covered with pytest before handover — you receive a working test
suite, not just code that ran once.
I hold 100% Job Success Score on Upwork with $100K+ earned across 67 completed projects.
I respond within 4 hours and am available more than 40 hours per week.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Speech, AI-Enhanced ClassificationAI Models
ChatGPT, OpenAI CodexWhat's included
| Service Tiers |
Starter
$400
|
Standard
$700
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
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 |
41 reviews
(40)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
CH
Clint H.
Aug 17, 2026
AI Chief of Staff System
Saurabh was great, he can build what you need and does a great job of communicating and keeping you involved in the process. I plan to use him again.
JB
Julien B.
Aug 15, 2026
AI-Powered Healthcare and Financial Intelligence D
TH
Timothy H.
Jul 17, 2026
AI Automation Development
Great help and I would recommend. Thank you
TH
Timothy H.
Jul 9, 2026
AI Development/Automation
Saurabh was very helpful in building our new dashboard and apps. We will be using him again for other projects. He has a wide range of experience and knowledge with different AI tools, open source models, hardware config, DevOps, CI/CD pipeline creation and optimization and a great resource to have for any company. I would highly recommend him.
LB
Lacey B.
Jun 30, 2026
Hermes Agent Troubleshooting
Saurabh was fast and efficient and helped me get the gremlins out of my Hermes agent. He was super helpful and quick to fix. Will definitely work with him again!
About Saurabh
AI Full Stack & Automation | Openclaw and Hermes Specialist
100%
Job Success
Noida, India - 6:34 pm local time
I’m a Full-Stack & AI Engineer with 10+ years of experience building web and mobile applications and 3+ years of specialized experience in AI and Large Language Models (LLMs). I design, develop, and deploy production-grade platforms, from scalable SaaS dashboards to AI-powered assistants, RAG systems, and voice agents.
I work end-to-end: architecture → backend → frontend → cloud deployment, with a focus on clean code, maintainable systems, and high performance. Over the past few years, I’ve delivered solutions that integrate AI/LLM pipelines, vector search, real-time chat, and voice agents for enterprise and startup clients.
🤖 AI & LLM Expertise
- MCP Server Development: Designing and integrating custom MCP servers for AI agents, enabling structured tool usage, external system integrations, database querying, and API orchestration.
- Fine-Tuning: Persona creation, Q&A systems, and domain-specific models (medical, legal) using Mistral and Llama 3.
- Synthetic Dataset Generation: Streamlining LLM training with high-quality datasets.
- Evaluation Frameworks: Assessing LLM performance with custom metrics.
- Cloud Deployment: Deploying LLMs on AWS and GCP.
- AI Agents & Voice Bots: Proficient with LiveKit, Retail AI, OpenAI.
- Open-Source Deployment: Expertise deploying models like vLLM on AWS/GCP/RunPod using SkyPilot.
🛠️ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀
➜ LLM Tools: LangChain, Langsmith, Langfuse , Hugging Face, Transformers.
➜ Vector Databases: Chroma, FAISS, Pinecone, Qdrant , Opensearch
➜ AI Workflows: Flowise AI, LangFlow, StackAI.
🛠️ 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
➜ Languages & Frameworks: Python, Node.js, ReactJS.
➜ Database Management: MongoDB, MySQL, PostgreSQL , Supabase , FIrebase
➜ Frontend & Backend Integration: Seamlessly connecting APIs and user interfaces.
🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀
➜ Open-Source LLMs: Proficiency in LLAMA 3, Mistral 7B, and Mixtral 8x7B.
➜ Prompt Engineering: Expertise in techniques like Chain of Thought, Few-shot Prompting, and Self-Reflection.
➜ Fast Inference: Implementing high-speed solutions with vLLM .
🌟 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲?
With over 10 years of experience, I deliver scalable, cutting-edge solutions tailored to your project’s needs. Whether it's advanced AI models, MCP server development, LLM optimization, or full-stack development, I ensure top-notch results every time.
Let’s collaborate to bring your ideas to life!
Steps for completing your project
After purchasing the project, send requirements so Saurabh can start the project.
Delivery time starts when Saurabh receives requirements from you.
Saurabh works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture review and project setup
Review requirements, finalize the agent graph design, confirm data sources, and set up the repo with folder structure, config.yaml, and environment files.