You will get a production-ready AI agent that automates your workflow
Rising Talent
Project details
Most "AI agents" die in the demo. I build agents that survive production.
I lead delivery at a 200-engineer software firm and have shipped AI systems for music-tech platforms, DeFi products, and e-commerce operations including a live multi-agent platform serving real users.
What you get:
• An agent scoped around one measurable business outcome, not a tech toy
• Reliable tool use: your CRM, helpdesk, Slack, email, databases, internal APIs
• RAG grounded in your documents, with guardrails against hallucination
• An evaluation suite, logging, and monitoring so you can trust it after launch
• Clean handover: full code ownership, documentation, walkthrough video
Stack: OpenAI, Claude, Gemini, open-source (Llama/Mistral); LangChain, LangGraph, CrewAI, n8n; Python/TypeScript; deployed to your cloud or ours.
Not sure which tier fits? Send me the workflow you want automated, I'll recommend the smallest scope that gets you a working agent in production.
I lead delivery at a 200-engineer software firm and have shipped AI systems for music-tech platforms, DeFi products, and e-commerce operations including a live multi-agent platform serving real users.
What you get:
• An agent scoped around one measurable business outcome, not a tech toy
• Reliable tool use: your CRM, helpdesk, Slack, email, databases, internal APIs
• RAG grounded in your documents, with guardrails against hallucination
• An evaluation suite, logging, and monitoring so you can trust it after launch
• Clean handover: full code ownership, documentation, walkthrough video
Stack: OpenAI, Claude, Gemini, open-source (Llama/Mistral); LangChain, LangGraph, CrewAI, n8n; Python/TypeScript; deployed to your cloud or ours.
Not sure which tier fits? Send me the workflow you want automated, I'll recommend the smallest scope that gets you a working agent in production.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Apache MXNet, Azure Machine Learning, deeplearn.js, Deeplearning4j, MATLAB, NVIDIA AI Platform, OpenCV, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Frequently asked questions
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About Hoang
AI Full-stack Developer | Fintech & Web3 | Agentic, Multi-Agent, LLM
100%
Job Success
Hanoi, Vietnam - 3:53 pm local time
AI Full stack Developer with 9+ years across Web3 & AI. I build production agents that automate real workflows including RAG, multi-agent systems, trading & onchain automation, blockchain onchain data, Fintech, DeFi, RWA, Payment gateway.
🤖 AI agent work (what I ship now):
- Custom AI agents & copilots - LangGraph, LangChain, CrewAI, OpenAI & Claude APIs
- RAG pipelines grounded in your data - vector DBs, evaluation suites, guardrails against hallucination
- Multi-agent orchestration - planner/worker/reviewer patterns, tool use, memory
- Workflow automation - n8n, Slack/Telegram/WhatsApp bots, CRM & API integrations
- Trading & onchain agents - bots that read markets, execute strategies, and interact with smart contracts safely
⛓️ Web3 foundation (9+ years):
- DeFi protocols - lending, staking, perp DEXs, cross-chain (LayerZero, Axelar)
- Smart contracts - Solidity, Rust, Foundry, audit-ready code
- Wallets & infra - ERC-4337 account abstraction, MPC wallets, rollups (OP Stack, zkSync)
Selected projects:
- Multi-agent AI platform serving live users
- Decentralized perpetual exchange
- AI trading agent with onchain execution and risk limits
- Liquity fork with multi-collateral DeFi architecture
- RAG support agent resolving 60% of tickets automatically
How I work: fixed scope, clear milestones, daily updates, full code ownership on delivery. I'll always recommend the smallest build that gets you a working agent in production — not the biggest.
📩 Send me the workflow you want automated (or the protocol you want built) and I'll reply with a concrete approach within an hours or book a 30-min consultation directly from this profile.
Steps for completing your project
After purchasing the project, send requirements so Hoang can start the project.
Delivery time starts when Hoang receives requirements from you.
Hoang works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scoping call (30–45 min)
map the workflow, agree on success metrics
Architecture & agent design
prompts, tools, data flow; you approve before build