You will get a custom AI agent that automates your business workflows using LLMs
Project details
I build custom AI agents and automation workflows powered by LLMs (Large Language Models) to help businesses automate repetitive tasks, enhance customer interactions, and scale operations efficiently.
With 8+ years of backend engineering experience and a deep background in AI systems, I've led the development of Vietnam's first AI productivity assistant (AIVA) and built AI-powered tools at AI PERFEX for SME clients.
What you get:
• A production-ready AI agent tailored to your use case
• Integration with your preferred LLM (GPT-4, Claude, LLaMA, Deepseek, etc.)
• Tool use: web search, database queries, API calls, file processing
• Memory and context management for multi-turn conversations
• Full source code with documentation and deployment guide
I use LangChain, Python, Go, and Rust for agent development, with deployment on AWS or your preferred cloud.
With 8+ years of backend engineering experience and a deep background in AI systems, I've led the development of Vietnam's first AI productivity assistant (AIVA) and built AI-powered tools at AI PERFEX for SME clients.
What you get:
• A production-ready AI agent tailored to your use case
• Integration with your preferred LLM (GPT-4, Claude, LLaMA, Deepseek, etc.)
• Tool use: web search, database queries, API calls, file processing
• Memory and context management for multi-turn conversations
• Full source code with documentation and deployment guide
I use LangChain, Python, Go, and Rust for agent development, with deployment on AWS or your preferred cloud.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 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 | - | - | - |
About Mr
Senior AI Native-Built SaaS & AI Platforms | Backend Dev / Tech Lead
Ho Chi Minh City, Vietnam - 10:07 am local time
As a former tech founder and team lead, I've delivered full-stack web products, architected backend systems with TemporalIO, Docker, and Rust, and led the launch of Vietnam's early AI assistants. I enjoy turning ideas into scalable infrastructure and helping businesses automate the boring stuff.
Stack: NodeJS, React, Go, PHP, Python, Rust, Flutter, TemporalIO, PostgreSQL, Redis, AWS, Docker
Focus: Backend Architecture, SaaS, Business Automation, AI Tools
Open to: Backend Dev | Tech Lead | Product Engineer roles (Remote/Hybrid - HCMC)
Open-source highlights (5,700+ contributions on GitHub):
- qwen-code-rust: Blazing-fast AI coding agent in Rust, 45+ tools, multi-provider support
- clawrust: Claude Code CLI rewritten in Rust with full feature parity
- duradx-oss: Durable workflow engine for Rust, DAG-based execution, multi-database support
- ai-instructions-template: Curated best practices for AI agent workflows
Steps for completing your project
After purchasing the project, send requirements so Mr can start the project.
Delivery time starts when Mr receives requirements from you.
Mr works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture Design
Review requirements, design agent architecture, select LLM provider and tool integrations
Development & Integration
Build the agent, implement tools, connect APIs and databases, iterative testing