Your degree is just piece of paper, your education seen your behaviour.
From artificial neural networks to LLM agents in production — one continuous learning curve.
I am an AI / ML Engineer with a software engineering background dating back to around 2010. Artificial intelligence is nothing new to me — I started from its more classical realm: artificial neural networks (LVQ & Backpropagation) for disease diagnosis and cryptography projects, plus decision support systems. That experience became my foundation as the AI world shifted toward LLMs.
Today I work on AI engineering full-time — designing and building LLM, RAG, and AI agents systems end-to-end: from architecture and inference to the end-user interface. I am not tied to a single approach; local or cloud, I choose whatever best fits the problem at hand. My personal AI research currently runs under dataSiberLab — a personal research space, not a commercial brand.
IT consultant & developer for the Ministry's information systems, end-to-end.
IT consultant & developer for the Ministry's information systems.
IT consultant for maintenance & development of the Ministry's Intranet System.
IT consultant for web applications & internal digital service development.
IT consultant for personnel data analysis & management to support decision-making.
IT consultant for application planning & programming and ICT services.
IT consultant for computer technical support & the integrated licensing service system (DPMPTSP).
Actively engaged within the Purworejo Regency Government since 2013.
Multi-provider AI agent platform with tool calling, sandbox, and multi-session support.
Reverse proxy & load balancer for LLM, image, and audio providers.
Desktop app for running local LLM models via llama.cpp.
RAG engine for Indonesian documents, including KTP / passport extraction.
Mockups & dashboards from natural language on an infinite canvas.
Visual workflow & flowchart builder with an AI assistant.
Local GGUF OCR — Indonesian KTP extraction using a local vision model: auto-crop, NIK verification, 100% on-device with no external OCR.
All open-source repositories — the Siber ecosystem, document OCR, and other technology experiments.
Open to discussions on AI infrastructure, RAG, LLM, and the Indonesian IT landscape — as well as project collaborations and application development. Reach out through any of the channels below.
“From artificial neural networks to LLM agents in production — one continuous learning curve.”