IT solutions provider for Telkomsel (Indonesia's No.1 telecom, 150M+ users), the company behind DigiPOS and AI-powered Digital Smart Care.

● Led development of a Fraud Detection System, applying and benchmarking 6+ anomaly detection methods to deliver real-time fraud scoring models, alerting and monitoring dashboards, and automated pipelines.
● Developed practical ML solutions in 5 projects for Telkomsel, including digital point-of-sale and customer service chatbots.
● Designed and implemented scalable AI architectures combining rule-based logic and ML inference, achieving a 15% increase in precision and a 12% increase in recall compared to the baseline model.
● Implemented containerized FastAPI services for a real-time AI monitoring platform, incorporating ML-based alerting, geospatial intelligence, retrieval-augmented generation (RAG) integration, and keyword-extraction analytics for LLM optimization.
● Stack: Python, GCP, BigQuery, VertexAI, MLflow, Dataflow, Apache Kafka, FastAPI, Docker

Indonesia's state research agency responsible for advancing national R&D in AI, satellite technology, and aerospace.

Research Associate, AI/ML
● Applied machine learning and data analytics to satellite-based climate and atmospheric data under a state research grant.
● Co-authored two publications in collaboration with Bandung Institute of Technology (ITB), Indonesia's top-ranked university.

Data Science Research Intern
● Forecasted monsoonal index (1965-2022) with ARIMA in Python & R at 95% accuracy; visualized using GeoPandas and Seaborn.
● Modeled data from 900+ weather stations, producing insights for LAPAN's further research.