You will get Claude or OpenAI AI feature built into your app: chat, RAG, automation
Rising Talent
Rising Talent
Project details
You will get a real AI feature working inside your app — not a demo, but production code you can ship.
I add Claude or OpenAI (GPT) to your product for chat, Q&A over your own documents (RAG), or automating a manual workflow. I focus on making the AI actually reliable: good prompts, error handling, and clean, commented code your team can maintain.
I'm a full-stack developer who ships apps end to end. I built and launched NutriPlan (iOS) and How2Play (iOS/Android), and I use AI tooling in my own work every day, so I know what it takes to move an AI feature from "cool prototype" to something dependable in front of real users.
Depending on the package you pick, you get: one AI feature wired into your app (Starter), AI plus a backend endpoint connected to your data (Standard), or RAG over your docs plus an automation workflow, deployed (Advanced). Every tier includes the source code and clear setup notes.
Tech: Node.js/TypeScript or Python (FastAPI), Supabase/PostgreSQL, vector databases for RAG, and your choice of Claude or OpenAI.
Message me before ordering so I can confirm scope and pick the right package for your goal.
I add Claude or OpenAI (GPT) to your product for chat, Q&A over your own documents (RAG), or automating a manual workflow. I focus on making the AI actually reliable: good prompts, error handling, and clean, commented code your team can maintain.
I'm a full-stack developer who ships apps end to end. I built and launched NutriPlan (iOS) and How2Play (iOS/Android), and I use AI tooling in my own work every day, so I know what it takes to move an AI feature from "cool prototype" to something dependable in front of real users.
Depending on the package you pick, you get: one AI feature wired into your app (Starter), AI plus a backend endpoint connected to your data (Standard), or RAG over your docs plus an automation workflow, deployed (Advanced). Every tier includes the source code and clear setup notes.
Tech: Node.js/TypeScript or Python (FastAPI), Supabase/PostgreSQL, vector databases for RAG, and your choice of Claude or OpenAI.
Message me before ordering so I can confirm scope and pick the right package for your goal.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$120
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 16 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 |
Frequently asked questions
About Jinhyuk
Full-stack Developer
Seoul, South Korea - 2:32 am local time
Mastery of Modern Tech Stack:
Backend Engineering & AI Microservices: Expert-level proficiency in designing and scaling backends with Python (FastAPI, Flask, Django) and Node.js. I have extensive experience building and integrating complex AI/ML models and APIs into production environments.
Cross-Platform Mobile Development: Proven track record in developing and publishing robust, native-feeling mobile applications for both iOS and Android using React Native and TypeScript.
Frontend Engineering: Deep knowledge of modern JavaScript, TypeScript, HTML5, and CSS3 for creating responsive, dynamic, and engaging user interfaces.
Database Architecture & Optimization: Highly skilled in relational database design, performance tuning, and managing complex data operations with PostgreSQL and MySQL.
Cloud Infrastructure & DevOps: Proficient in full application lifecycle management, from deployment and monitoring to scaling, using Amazon Web Services (AWS) and Google Cloud Platform (GCP).
I don't just code. I deliver end-to-end, market-ready products. My approach is defined by ownership, precision, and a commitment to exceeding technical expectations.
Steps for completing your project
After purchasing the project, send requirements so Jinhyuk can start the project.
Delivery time starts when Jinhyuk receives requirements from you.
Jinhyuk works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & prompt design
We confirm the exact AI behavior, model, and success criteria, then design and test the prompts/system instructions for reliable, on-brand responses.
Build & integrate
I wire the AI model into your app or backend with clean, commented code, error handling, and (if needed) a vector database for RAG over your own documents.