Master's in Informatics
Institut Teknologi Sepuluh Nopember
Research on Explainable Temporal GNNs for financial forensics and Deep Cross-Level Context Fusion for medical image segmentation.
Machine Learning Engineer & Deep Learning Researcher
M.Sc Informatics @ Institut Teknologi Sepuluh Nopember
Machine Learning Engineer translating mathematical frameworks into deployable AI systems. Current research in temporal graph learning, medical image segmentation, and imbalanced classification.
Institut Teknologi Sepuluh Nopember
Research on Explainable Temporal GNNs for financial forensics and Deep Cross-Level Context Fusion for medical image segmentation.
Institut Teknologi Sepuluh Nopember
Bangkit Academy, Led by Google
Evaluated systems with metrics from real benchmarks, not demos.
Explainable GNN (Temporal GATv2 + GNNExplainer) using GraphSMOTE and Time2Vec to detect illicit transactions on the Elliptic dataset under strict chronological splits. Mitigates severe temporal concept drift.
CCFNet+ (Res2Net-101) with Coordinate Attention and adaptive context gating to resolve extreme scale variations and boundary ambiguity in medical polyp segmentation.
Hybrid time-series system combining Facebook Prophet (logistic growth) with heuristic fallback to predict elective course demand under volatile post-pandemic trends. Solves the cold-start problem for new courses.
Classification pipeline handling 1:3 class imbalance via Weighted Random Forest and multi-modal feature integration (clinical + sociobehavioral). Proves algorithmic cost-sensitive learning beats SMOTE on data integrity.
Deployed models: interactive prototypes hosted on Hugging Face Spaces.
Sentiment analysis tool for financial text using a fine-tuned FinBERT model.
Image classifier built and trained with TensorFlow and the EfficientNetB1 architecture.
Machine learning model predicting California housing prices.
PT MYECO Teknologi Nusantara