Ananda Prasetya
About Ananda Prasetya
Ananda Prasetya is the Director of Engineering - Data at Halodoc, with a background in software engineering and data management. He has previously worked at Red Hat and Yaraku, Inc., and holds both a Bachelor's and Master's degree in Computer Science from the University of Indonesia.
Current Role at Halodoc
Ananda Prasetya serves as the Director of Engineering - Data at Halodoc, a position he has held since 2022. In this role, he oversees data engineering initiatives and contributes to the company's technological advancements in the healthcare sector. His leadership focuses on leveraging data to enhance service delivery and operational efficiency within the organization.
Previous Experience at Red Hat
Before joining Halodoc, Ananda worked at Red Hat as a Solution Architect from 2020 to 2022. During his tenure in Jakarta, Indonesia, he was responsible for designing and implementing solutions that addressed client needs, utilizing open-source technologies to drive innovation and efficiency in various projects.
Background in Software Engineering
Ananda has a diverse background in software engineering, having worked at Yaraku, Inc. as a Software Engineer/Developer from 2013 to 2016 in Shibuya, Tokyo. He also held the position of Head of Data & BI Engineering at Mapan - PT Ruma from 2016 to 2020, where he led data engineering and business intelligence efforts in the Greater Jakarta Area.
Educational Qualifications
Ananda Prasetya obtained both his Bachelor's and Master's degrees in Computer Science from the University of Indonesia. He completed his Bachelor's degree from 2004 to 2008 and his Master's degree from 2009 to 2011. His academic background laid the foundation for his expertise in advanced fields such as Semantic Web and Natural Language Processing.
Research and Academic Involvement
Ananda was a member of the Information Retrieval Laboratory at the University of Indonesia, where he engaged in research and development activities. He also worked as a Researcher at the Information Retrieval Lab from 2011 to 2012. His interests include Semantic Social Networks and Open Linked Data, indicating a commitment to exploring cutting-edge technologies in computer science.