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.
// ml_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.
email · linkedin · huggingface
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 — 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, 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