Kesya W.

Kesya W. is an accomplished informatics graduate from Universitas Bunda Mulia with extensive experience in applied AI research and deep learning model development. Kesya has successfully implemented end-to-end ML systems, and notably developed a sophisticated deepfake detection system encompassing multi-source dataset curation to web-based deployment for effective inference visualization. Further enriching his technical portfolio, Kesya constructed a production-ready AI data science agent capable of handling complex ML pipelines and incorporating advanced tools like SHAP for model explainability. As an undergraduate researcher, he executed comprehensive deepfake detection using innovative techniques such as DeiT-Small and dual input data types. Kesya's teaching role as a tutor for programming and algorithm complexity courses highlights his leadership and strong communication skills. As a chairman and treasurer for HIMTI, and a campus representative, he demonstrated robust organizational capabilities. His professional competencies are validated by the CertNexus GenAIBIZ Certification which confirms his deep understanding of Generative AI applications.