Hello, world. I'm
Rhavif Budiman
Building intelligent systems, automating workflows, and crafting products that solve real problems.
About Me
Building things that actually work
I'm an AI & Machine Learning Engineer based in Indonesia, specializing in turning complex real-world problems into intelligent, production-ready systems.
From building RAG-based insurance claim validators and YOLOv11-powered livestock counters to satellite-driven precision agriculture platforms — I work across the full stack of AI, IoT, and data engineering.
M.Sc. Computer Science from IPB University. When I'm not building, I'm exploring self-hosted infrastructure, automation workflows, or the next interesting ML paper.
Tech Stack
Skills & Technologies
Languages
AI & Machine Learning
IoT & Edge
Data Engineering
Backend & Web
Infrastructure
Work
Projects
A selection of things I've built. Click any card to see more details, screenshots, and tech breakdown.
Example Project
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Background
Experience & Education
Work
Led development of a generative AI-powered insurance claim validation system. Architected an Intelligent Document Processing pipeline using Azure Document Intelligence (OCR) and Azure OpenAI for data extraction. Implemented a RAG-based validation engine with ChromaDB to compare claims against policy documents. Engineered fraud detection modules for billing anomalies, ICD code consistency, and drug over-prescription. Containerized the full solution with Docker.
Led end-to-end AI & IoT solutions for industrial automation. Built a smart weighing system using YOLOv11 that reduced livestock manual sampling from 30 minutes to real-time with 95% counting accuracy. Deployed models on Raspberry Pi edge devices with ThingsBoard for IoT visualization. Built ETL pipelines with Airflow, Docker, and dbt consolidating data from Odoo and Google Sheets into Looker and Metabase BI dashboards.
Developed a drone-based computer vision model for warehouse SKU detection, cutting time by 10%. Created 'Digital Agronomy' — a palm oil nutrition prediction product using satellite and drone imagery with 5–10% error rate, reducing lab dependency. Built Bathymetry Text Generator desktop app eliminating 3 hours of manual processing. Built BAST and Bathymetry dashboards in PowerBI, harmonized company data using Delman.io and Metabase.
Handled computer vision projects for warehouse product detection, recognition, and OCR. Proof-of-concept for Digital Agronomy program using drone-mounted multispectral camera to predict palm oil nutrition. Built tree counting algorithm for palm oil plantations with 90% accuracy.
Worked on PreciPalm — a precision agriculture platform for oil palm using satellite technology to recommend precision fertilization. Trained staff on satellite data download, QGIS map processing, and PreciPalm operations. Updated palm oil prediction models and produced monthly and yearly field monitoring reports.
Education
Let's Talk
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Open for freelance work, collaborations, or just a good conversation about technology and ideas.