Ruben Stefanus is a Senior Data Scientist based in Jakarta with 7 years of hands-on experience building production ML systems across healthcare, finance, retail, and consulting. At Halodoc he designed and scaled LLM-powered adjudication and auto-adjudication systems that automated thousands of claims daily, cut processing time by up to 70%, and improved unattended claim rates dramatically. He has strong applied ML pedigree from fintech at Finantier (credit scoring and transaction modeling) to retail demand forecasting and OCR solutions at Warung Pintar, consistently translating research into measurable business impact. Ruben also co-founded and researches with local AI communities, mentors data scientists, and builds evaluation and observability pipelines to make LLM deployments safer and more reliable. Known for combining analytical rigor with pragmatic engineering, he pairs deep technical skills (XGBoost, LSTMs, transformer/LLM tooling, MLOps) with a collaborative, impact-first mindset. Outside work heโs active in mentoring and community building, bringing academic curiosity into real-world products.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, 3.73, Bachelor's degree, Electrical and Electronics Engineering, 3.73 at Universitas Kristen Maranatha Bandung
Contributions:1 release, 30 commits, 4 PRs in 3 months
ocrcomputer-visiondeep-learning
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