Projects
Things I've built
Applied work — systems, models, and tools. Peer-reviewed research lives on the Research page.
ScreenAI
AI recruitment screening that pairs NER-based blind screening with RAG competency scoring and Explainable AI to rank candidates fairly and transparently.
LabLink
A centralized internal system for MBC Laboratory — members, inventory, on-call rosters, attendance, and a transparent cash ledger — replacing a sprawl of scattered docs, drives, and spreadsheets.
Flood Impact Segmentation
A 10-class Swin Transformer + FPN model that maps flood impact from aerial imagery, built for the national Dolanan Data NEXUS 2026 competition — a Top-10 finalist entry.
Big Data Toolkit
Scaling and deploying MBC Lab's no-code ML-lifecycle teaching toolkit — a Streamlit app that collapsed past one user on a free tier — onto a GCP VM that served the whole study group.
Operational Risk Analysis
XGBoost model that predicts job-level risk (completed / delayed / failed) on a hybrid manufacturing line, with SHAP turning predictions into actionable maintenance and scheduling insight.
Indonesian Tweet Emotion Classification
A comparative text-mining study classifying Indonesian tweets into five emotions, benchmarking a BiLSTM baseline against IndoBERT and measuring how much custom preprocessing actually moves the needle.