You will get a working AI MVP with LLM integration, Next.js, and FastAPI

Project details
Turn one valuable AI idea into a working product your users can actually test.
I build a focused AI web application around your use case, not a generic chatbot or a pile of prompts. Depending on the tier that includes a responsive interface, LLM integration, structured outputs, data storage, authentication, guardrails, error handling, and deployment.
This fits if you want to validate an AI idea before a larger build, add an AI workflow to an existing product, turn a manual text-heavy process into a usable internal tool, or replace a fragile demo with something testable.
My own shipped work includes a multi-market financial analysis platform and a production LLM product with output guardrails, both built and deployed alone. Add four years of product and analytics work, and I can help define the workflow as well as implement it.
Typical stack: Next.js, Python, FastAPI, Supabase, PostgreSQL, and a suitable LLM API.
You receive the agreed source code and handover documentation. Third-party subscriptions, model usage, hosting, and API charges are not included.
If your idea is larger than the listed scope, message me first so we can find the smallest valuable first release.
I build a focused AI web application around your use case, not a generic chatbot or a pile of prompts. Depending on the tier that includes a responsive interface, LLM integration, structured outputs, data storage, authentication, guardrails, error handling, and deployment.
This fits if you want to validate an AI idea before a larger build, add an AI workflow to an existing product, turn a manual text-heavy process into a usable internal tool, or replace a fragile demo with something testable.
My own shipped work includes a multi-market financial analysis platform and a production LLM product with output guardrails, both built and deployed alone. Add four years of product and analytics work, and I can help define the workflow as well as implement it.
Typical stack: Next.js, Python, FastAPI, Supabase, PostgreSQL, and a suitable LLM API.
You receive the agreed source code and handover documentation. Third-party subscriptions, model usage, hosting, and API charges are not included.
If your idea is larger than the listed scope, message me first so we can find the smallest valuable first release.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Content Creation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$295
|
Standard
$795
|
Advanced
$1,495
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
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 Joey
Chinese-English AI Developer | LLM, RAG & China Market Data
Hong Kong, Hong Kong - 5:41 am local time
Calling an LLM API is usually the easy part. The difficult part is handling Chinese-language retrieval, bilingual output consistency, access control, structured data, model reliability, and the differences between China, Hong Kong, and international data workflows.
I can help you build:
• Chinese-English LLM applications and internal tools
• Bilingual RAG and semantic search systems
• Chinese-language structured extraction and analysis workflows
• China, Hong Kong, and cross-border market intelligence products
• AI applications using Next.js, Python, FastAPI, Supabase, and PostgreSQL
• Geospatial and public-data pipelines involving China or Hong Kong
My recent work includes:
• A bilingual AI knowledge platform combining instant translation with a custom authority-ranking system
• A financial intelligence platform covering US, Hong Kong, and China A-share markets
• A deployed LLM application with structured-output validation, behavioral guardrails, multilingual retrieval, and PostgreSQL row-level security
• A GIS-to-3D pipeline built from public road data around Hong Kong International Airport
Before specializing in AI applications, I spent four years delivering data products and analytical systems in Beijing. My work included government digitalization, environmental monitoring, early-warning platforms, remote sensing, stakeholder interviews, requirements analysis, and cross-functional project delivery.
I later completed an M.S. in Geographic Information Science at the University at Buffalo, where my research combined spatial statistics, NLP, multilingual sentiment analysis, and behavioral modeling.
What makes me especially useful on cross-border projects is that I can work across three layers:
1. Understand the Chinese-language and local data context
2. Translate an ambiguous business need into a clear product workflow
3. Build and deploy the technical solution
Core stack: Next.js, TypeScript, Python, FastAPI, Supabase, PostgreSQL, pgvector, LLM APIs, GeoPandas, and geospatial data tools.
I work in English, Mandarin, and Cantonese from Hong Kong.
If your project involves Chinese users, bilingual content, China or Hong Kong data, secure RAG, or an AI workflow that needs more than a translated English prompt, send me your target user, sample input, and desired output. I will help you define the smallest useful solution before we build it.
Steps for completing your project
After purchasing the project, send requirements so Joey can start the project.
Delivery time starts when Joey receives requirements from you.
Joey works on your project following the steps below.
Revisions may occur after the delivery date.
Scope and acceptance criteria
I review your requirements, confirm the single most important user flow, and document the agreed deliverables and exclusions before any code is written.
Workflow and technical design
I define the inputs, outputs, prompt flow, validation logic, data model, and implementation approach, and tell you if the model you assumed is not the right one for the job.