>> HELLO WORLD:
FIKRI MULYANA SETIAWAN
// AI RESEARCHER // DATA SCIENTIST // QUANTITATIVE ANALYST //
Chronos-BTCIDR-V1
A REST API that serve Bayesian LSTM model to forecast BTC-IDR return and quantifying its risks. Built with FastAPI. Designed for professional trader and Quantitative Analyst.
[ > VIEW PROJECT < ]Probabilistic Bayesian LSTM for Autonomous Crypto Trading
Leveraging Bayesian Deep Learning to predict cryptocurrency returns and quantifying predictive uncertainty. Developed as a Master’s Thesis research.
[ > VIEW PROJECT < ]Explainable DNN for Network Intrusion Detection
A high-performance Deep Neural Network (DNN) model for network security, integrating SHAP (Shapley Additive Explanations) to provide model transparency. Published in a Scopus Q3-indexed journal (2026).
[ > VIEW PROJECT < ]