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You will get an AI automation system with RAG and LLM workflows

MyungHwan H.Status: Offline
MyungHwan H.
Rising Talent
Preview image

Let a pro handle the details

Buy Generative AI services from MyungHwan, priced and ready to go.
MyungHwan H.Status: Offline
MyungHwan H.
Rising Talent
Preview image

Let a pro handle the details

Buy Generative AI services from MyungHwan, priced and ready to go.

Project details

With over 3 years of experience in software development and AI engineering, I build practical LLM systems, RAG pipelines, and AI automation workflows for real business use cases. My focus is on reliable and scalable AI systems with clear workflow architecture, not simple prompt wrappers. I care about building maintainable solutions that can realistically operate in production environments.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer Model
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Tools
Gradio, Hugging Face, Streamlit
AI Models
ChatGPT, LLaMA, Stable Diffusion, Whisper
What's included
Service Tiers Starter
$80
Standard
$300
Advanced
$1,000
Delivery Time 5 days 10 days 21 days
Number of Revisions
358
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
-
Model Documentation
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Model Monitoring
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Model Testing & Optimization
-
Model Tuning
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Natural Language Processing
NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
Source Code
Optional add-ons You can add these on the next page.
Additional Revision
+$10
MyungHwan H.Status: Offline

About MyungHwan

MyungHwan H.Status: Offline
AI Backend Engineer | RAG | LangGraph | FastAPI | Agentic Systems
Gimpo-si, South Korea - 4:21 am local time
I’m an AI Backend Engineer focused on building practical LLM systems, agentic workflows, and AI automation tools for real-world applications. My work includes multi-agent systems, RAG pipelines, AI orchestration, and open-source LLM fine-tuning using QLoRA and PEFT.

I also bring a full-stack JavaScript background (PERN stack), with experience building web applications, REST APIs, authentication systems, and database-driven platforms using Node.js, Express.js, React, PostgreSQL, and MongoDB.

I enjoy designing AI-powered systems that automate workflows, reduce manual processes, and solve practical business problems through scalable and well-structured engineering.

Steps for completing your project

After purchasing the project, send requirements so MyungHwan can start the project.

Delivery time starts when MyungHwan receives requirements from you.

MyungHwan works on your project following the steps below.

Revisions may occur after the delivery date.

Review & Revisions

Client reviews the delivered system and requests adjustments or revisions if needed before final approval.

Review the work, release payment, and leave feedback to MyungHwan.