Automating Your Business withIntelligent Workflows
Stop wasting time on manual tasks. I build custom n8n Workflows, Power Apps, and Machine Learning Models to help you save 100+ hours/month.
Powering Solutions With
How I Can Help You
Specialized services tailored for efficiency and scalability.
Workflow Automation
Connect WhatsApp, Google Sheets, Email, and CRM seamlessly. Build AI Agents that handle customer support 24/7 using n8n.
- WhatsApp Auto-Reply Bots
- Auto Invoice Generator
- CRM Data Sync
Corporate Power Apps
Digitize manual forms into professional mobile apps. Perfect for HR, Inventory, and Field Inspections within Microsoft 365 ecosystem.
- Leave Request Systems
- Inventory Management
- Approval Workflows
Machine Learning & AI
Custom Python-based models to predict sales, analyze sentiment, or process data. Turn raw data into actionable insights.
- Predictive Analytics
- NLP & Text Analysis
- Custom AI Models
Meet Your Automation Partner
Hi, I'm Ferri Krisdiantoro. I bridge the gap between complex AI technology and business efficiency. With 3+ years of experience and 24+ successful projects, I help businesses save hundreds of hours by automating boring tasks using n8n, Python, and Power Platform.
Recent Work
Real problems solved with automation and code.
Customer Service AI Chatbot | RAG Automation
AI Automation
A customer service chatbot built using a RAG system orchestrated in n8n automation workflows. It answers user questions based on a curated internal knowledge base, combining LLMs with deterministic retrieval.
Playstore App Comment Sentiment Analysis
NLP
A text classification model for categorizing Playstore app reviews into Positive, Negative, and Neutral sentiments. The project is developed in Google Colab using TensorFlow and an LSTM-based architecture.
Waste Classification | Organic vs Recycle
Computer Vision
An image classification project that classifies waste into Organic or Recycle categories. The model is built using TensorFlow and Keras, while Streamlit is used to display predictions and probability charts.
Virtual Try On | Nail Polish Segmentation
Computer Vision
A virtual try-on web app for nail polish that uses image segmentation to detect nail regions and apply color effects in real time. The model is built with TensorFlow and Keras, and the UI is implemented with Streamlit.
What Clients Say
Trusted by 24+ Businesses
"The service was incredibly good and responsive. The response time was very fast, friendly, and truly helpful. Ferri is very skillful and his service is definitely worth it for various complex projects."
"Overall excellent experience. Ferri was fast to execute ('gercep') and provided valuable technical advice for our project needs. Great work, we will definitely order again in the future."
"Excellent quality and very open to feedback. He was willing to make revisions until the result was perfect. Highly satisfying experience."
"The work was done exceptionally well and very responsive. Highly recommended for anyone looking for fast and accurate results."
"Delivered exactly as requested and the execution was very fast. Very good fast response and excellent workmanship."
"Simply the best service. Very friendly and helpful throughout the process."
Ready to Automate Your Business?
Let's discuss how we can remove manual work from your daily operations. I am currently available for new projects on Upwork and Fastwork.