Experience
Work Experience
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AI Engineer — Rubythalib.ai
Conducting research and development on computer vision models — designing controlled experiments to evaluate architectures, hyperparameters, and data augmentation strategies. Benchmarking YOLO-based models across configurations, analyzing failure cases, and extracting insights to guide improvements.
- Developed and trained object detection & classification models using YOLO for industrial applications (automated visual inspection, data-driven decision-making).
- Applied AI-based computer vision to transform raw visual data into deployable solutions.
- Cleaned and validated dataset annotations, performed quality control for high-quality training data.
- Designed end-to-end AI pipelines — from raw image collection and preprocessing to deployable object detection models.
Computer Vision YOLO TensorFlow
Competitions & Awards
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NASA International Space Apps Challenge 2025
Team Syntropy — Created Exoplantropy, an AI-based web app for exoplanet detection from space telescope data. Mentored by former head of BRIN (2014–2021), head of BRIN space research centre, and MIT AI expert.
Global Nominee Best Mission & Concept Jakarta
Certifications
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Mastery Deep Learning (Fresh Graduate Academy)
Deep Learning -
Intermediate Deep Learning (Fresh Graduate Academy)
Deep Learning -
Fundamental Deep Learning (Fresh Graduate Academy)
Deep Learning -
CCNA: Introduction to Networks
Networking
Community & Speaking
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Speaker — PyCon APAC 2025
Selected as a speaker at the Python Conference Asia-Pacific 2025, sharing experiences and knowledge with the Python developer and research community.