I research and build machine learning systems, from reinforcement learning for markets to computer vision for disaster recovery.
Informatics Engineering graduate (cum laude, GPA 3.6/4.0) from Institut Teknologi Bandung with hands-on experience in machine learning research and in deploying AI systems in practice.
I presented research at IEEE ICAICTA 2026 and have worked on ML for real-world engineering problems in a cross-disciplinary team. My work spans the full ML lifecycle, from data preparation and modelling to building and shipping working applications.
I am looking to contribute to research or industry teams where machine learning is used to solve meaningful, data-driven problems.
My academic background
Cum Laude · GPA 3.6 / 4.0
Thesis: Multi-Agent Reinforcement Learning for Portfolio Management on the Indonesia Stock Exchange with Market Microstructure Modeling (Advisor: Dody Dharma)
Frameworks, libraries, and tools I've used across my work and research
Open to research and industry roles where machine learning solves meaningful, data-driven problems