AI/ML Engineer with 8+ years in IT and a strong operations background from 9+ years in F&B. Specializing in AI automation, LLM applications, and agentic workflows for digital marketing and operations. Educator at Kelas Awan Pintar, passionate about empowering others through technology.
I'm Jumadi — an AI/ML Engineer with a Master's degree in Computer Science from Universitas Nusa Mandiri. I combine 8+ years of IT expertise with 9+ years of operations background from F&B, bringing a unique perspective to building AI systems for real-world business problems. Passionate about open source and empowering others through education at Kelas Awan Pintar.
Currently an AI Engineer at Meson Digital Agency, I build LLM-powered agentic AI systems for digital marketing operations using n8n, OpenAI API, and WhatsApp API. I also develop full-stack web applications (Laravel, CodeIgniter) and deploy ML models via Streamlit & Flask. Previously trained 900+ participants in AI and Data Science at Orbit Future Academy.
Peer-reviewed research contributions in AI, healthcare, and data science
J Jumadi, JUM Akbar
International Journal of Advanced Computing and Informatics 1 (2), 69-78
View PublicationJ Jumadi, K Puspita, MD Anasanti
View PublicationR Trihardo, J Jumadi, M Ernawati
Journal Medical Informatics Technology, 95-102
View PublicationM Mahendra, J Jumadi, D Riana
Journal Medical Informatics Technology, 106-110
View PublicationShowcasing innovative AI solutions, automation systems, and data-driven applications
Agentic AI system with LLM integration for autonomous customer service via WhatsApp, automated meeting scheduling, and real-time lead management integrated with Google Suite.
Automated data extraction and synchronization from Meta Business Suite to database and Google Sheets using official SDK, enabling real-time analytics and reporting workflows.
Intelligent customer service automation using RAG (Retrieval-Augmented Generation), LangChain, and n8n for context-aware WhatsApp chatbot responses via Unofficial API.
Agentic AI system for autonomous digital marketing analytics with token optimization and smart data pipeline. Achieved 18x performance improvement — from 3+ minutes to under 10 seconds response time — while reducing API token consumption by 70%.
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