I'm an undergraduate Data Science student at Telkom University, Bandung, with hands-on experience in AI/ML engineering, computer vision, NLP, and data engineering. My work sits at the intersection of research and production — I build models that hold up in adverse conditions and systems that real teams depend on.
I published my first IEEE paper as first author at ICSINTESA 2025 — optimizing YOLOv11 for vehicle detection in low-visibility CCTV footage, reaching mAP@0.5 of 0.896 with 122 FPS real-time inference. That research now anchors my ongoing thesis on traffic flow estimation.
On the engineering side, I independently built and deployed ScreenAI Lab on Google Cloud Compute Engine, supporting 312 registered users and 248 submitted applications. The platform combines rubric-based LLM scoring, IndoBERT identity masking, document-grounded evidence, and recruiter review. I also built LabLink — a full-stack internal information system for MBC Laboratory, built solo and adopted across all four divisions.
During my Business Data Operations internship at Yokke, I worked in Data Governance on SQL-based ETL validation, OpenMetadata enrichment, and operational automation. I developed an Excel/VBA workflow for KCIC data preparation and Oracle ingestion. Earlier, a one-month Data Engineer internship at PT Metrocom gave me practical experience with Oracle Database and ETL workflows.