I am a Data and AI professional based in Surabaya, Indonesia, with hands-on experience building end-to-end data pipelines, machine learning systems, forecasting solutions, and applied AI automation.
I work primarily with Python, SQL, PostgreSQL, machine learning libraries, and API-based services. My experience includes developing robust monitoring workflows, data validation processes, recoverable collection pipelines, and operational dashboards.
I have built and evaluated classification and forecasting models using XGBoost, BiLSTM, statistical methods, and time-series techniques. I focus on reproducibility, feature engineering, model evaluation, cross-validation, and production-consistent inference.
I also develop AI automation systems using FastAPI, n8n, Ollama, pgvector, RAG, embeddings, structured LLM outputs, and human-in-the-loop approval workflows. I am comfortable packaging services with Docker and maintaining reliable retry and recovery processes.
I hold a Bachelor of Mathematics degree from UIN Sunan Ampel Surabaya and am BNSP-certified as a Data Scientist. I am also the first author of a peer-reviewed publication on XGBoost-based rainfall forecasting.
In addition to industry work, I have experience teaching Python, AI concepts, MATLAB, and introductory machine learning. I enjoy translating technical concepts into practical systems, learning materials, and clear operational workflows.
