CV
Summary
Applied ML lecturer at BINUS University. I teach it, I build it, I run it: curriculum design, production ML systems, and research in time-series forecasting.
Education
- Computer ScienceBina Nusantara UniversityGPA: 3.95Courses: Summa Cum Laude
- Computer ScienceBina Nusantara UniversityCourses: Best graduate of the cohort
Work Experience
- Lecturer, Artificial Intelligence Program (School of Computer Science)-BINUS UniversityDesigned and authored the AI program's core curriculum (5 courses authored, 2 co-authored): ML foundations, applied NLP, deep learning, MLOps, signal processing, IoT & robotics. Build and operate the production systems that run the program: ML competition platform, course quiz portals, interactive teaching tools. Research in deep learning for time-series forecasting.
Skills
Python
Deep Learning (LSTM, GRU, Transformers)
MLOps & Self-hosting (FastAPI, uvicorn, systemd, cloudflared)
SQLite
Git & GitHub
LaTeX
Publications
- Parallelization of LSTM-GRU Architectures for Multivariate Prediction of Stock Prices20242024 International Conference on Information Management and Technology (ICIMTech), IEEEHybrid LSTM-GRU architectures, parallelized for multivariate stock price prediction and benchmarked against transformer-based comparators.
Teaching
- Machine Learning Operations (COMP6984001)2026BINUS UniversityRole: Graduate courseBuilding and operating ML systems end-to-end: experimentation, model serving, monitoring, and production discipline.
- AI Program Curriculum Design2025BINUS UniversityRole: Curriculum author5 courses authored, 2 co-authored: ML foundations, applied NLP, deep learning, MLOps, signal processing, IoT & robotics.
Portfolio
- ML Competition Platform (ARISE)2026PlatformKaggle-style ML competition platform for BINUS students, self-hosted on a $5 VPS: FastAPI, cloudflared tunnel, daily submission caps, admin analytics.
- Course Quiz Portals2026PlatformWeekly quiz portals for ML courses: single-attempt, NIM-gated submissions with instant feedback and live results.
- Build Diary2026
- Backpropagation Teaching Tool2026TeachingA browser-based tool that teaches backpropagation through a 4-beat story: guess, measure, blame, nudge.
Languages
- IndonesianNative
- EnglishProfessional
Interests
- Deep Learning
- Time-Series Forecasting
- ML Systems & MLOps
- Educational Technology