You will get an AI agent and automation workflow built with n8n, Claude API, and Make
Project details
I build AI-powered automation systems that replace manual, repetitive work with intelligent workflows running 24/7.
My specialty: combining workflow tools (n8n, Make.com) with AI models (Claude API, OpenAI) to create systems that don't just follow steps — they decide, process language, and adapt.
What I deliver:
AI Agents — autonomous systems that read, classify, generate, and act on data without human intervention.
Workflow Automation — multi-step pipelines connecting your apps, databases, and APIs with conditional logic, error handling, and scheduling.
AI Integrations — Claude API or OpenAI plugged into your workflows for document processing, content generation, smart routing, and data extraction.
Tech stack: n8n, Make.com, Claude API, OpenAI, Python, REST APIs, webhooks, PostgreSQL, Google Sheets, Notion, Slack
Every project includes documentation, error handling, and a walkthrough video.
Message me with what you want to automate.
My specialty: combining workflow tools (n8n, Make.com) with AI models (Claude API, OpenAI) to create systems that don't just follow steps — they decide, process language, and adapt.
What I deliver:
AI Agents — autonomous systems that read, classify, generate, and act on data without human intervention.
Workflow Automation — multi-step pipelines connecting your apps, databases, and APIs with conditional logic, error handling, and scheduling.
AI Integrations — Claude API or OpenAI plugged into your workflows for document processing, content generation, smart routing, and data extraction.
Tech stack: n8n, Make.com, Claude API, OpenAI, Python, REST APIs, webhooks, PostgreSQL, Google Sheets, Notion, Slack
Every project includes documentation, error handling, and a walkthrough video.
Message me with what you want to automate.
AI Algorithms
Large Language ModelAI Applications
AI ChatbotAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 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 Watcharasak
Python Automation & Data Pipeline Engineer
Bangkok, Thailand - 1:24 am local time
wrong time, pipelines that fail silently, scripts no one else can
maintain. I build systems that don't.
My background is in quantitative trading infrastructure, where data
reliability isn't a nice-to-have — it's the whole point. I've built
production pipelines processing over a million records daily and
automated workflows that cut a 10-person team's manual workload by 70%.
That same standard is what I bring to every freelance project.
What I work on:
Python automation — scheduled scripts, file processing, report
generation, workflow automation across APIs and databases.
ETL & data pipelines — end-to-end extraction, transformation, and
loading from messy real-world sources into clean, usable formats.
SQL analysis & optimization — complex queries, slow query fixes,
reporting layers on top of existing databases (MySQL, PostgreSQL).
Data cleaning & transformation — turning inconsistent, multi-source
datasets into something analysis-ready.
I work best with clients who have a specific problem and want it solved
properly. Every delivery comes with clean code, documentation, and a
handoff you can actually understand and maintain.
Available for fixed-price projects and hourly engagements.
Message me with what you're working on.
Steps for completing your project
After purchasing the project, send requirements so Watcharasak can start the project.
Delivery time starts when Watcharasak receives requirements from you.
Watcharasak works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery
We discuss your manual workflow, apps/APIs involved, volume, and success criteria. I map out the automation architecture and confirm the tech stack.
Build
I build the workflow in n8n or Make.com with conditional logic, error handling, and AI integration where needed. You get progress updates along the way.