Muhammad Rizky Pribadi brings together research in machine learning, academic leadership and experience delivering digital solutions. His work explores how intelligent systems can address practical problems—from understanding text and retrieving knowledge to interpreting images and supporting decisions.
Machine Learning
Generative AI
Computer Vision
Applied AI · Research · Digital innovation
Research & practice
From intelligent models to useful applications.
A research foundation
His research spans predictive modelling, computer vision, information retrieval and generative AI. It includes work on model optimization, class imbalance, software defect prediction, agricultural image analysis and retrieval-augmented generation, including research into reducing hallucinations in large language models.
He holds a doctorate in Computer Science, with a focus on Machine Learning, from Universitas Kristen Satya Wacana and a master's degree in Computer Science from Universitas Indonesia. His professional contributions include serving as Head of the Research and Innovation Working Group in the 2025 Indonesia AI Roadmap Drafting Team under KOMDIGI.
Experience in application
Alongside his research, he has led information systems projects across industry, healthcare and public institutions. His experience with Drone TANI also connects digital innovation with agricultural mapping and field applications.
At Utomo Institute, this combination brings a technical and research-informed perspective to AI feasibility, model evaluation and the development of intelligent digital solutions.
Areas of expertise
Technical depth. Practical relevance.
01
Applied Machine Learning
Predictive modelling, classification, model optimization and evaluation, with research addressing class imbalance and software defect prediction.
02
Generative AI & Knowledge Systems
Text processing, information retrieval, chatbots and retrieval-augmented generation to connect AI responses with relevant knowledge sources.
03
Computer Vision & Remote Sensing
Image analysis, object detection and agricultural applications, including plant disease identification and drone-based mapping.
04
Digital Solution Development
Information systems project delivery, supported by experience in UI/UX and translating user needs into practical digital applications.
