Afif Antabli
About Afif Antabli
Afif Antabli is a Senior Data Platform Engineer at Wade & Wendy, where he has worked since 2020. He has a background in software engineering from LinkedIn and holds a Master of Science in Computer Science and Engineering from Santa Clara University.
Work at Wade & Wendy (Acquired by PandoLogic)
Afif Antabli has been employed at Wade & Wendy, which was acquired by PandoLogic, since 2020. In his role as Senior Data Platform Engineer, he has contributed to the development and maintenance of data processing systems. His responsibilities include building and maintaining systems for data normalization and storage. Antabli has also worked with various messaging queues and APIs within a diverse compute infrastructure stack, enhancing the company's data capabilities.
Previous Experience at LinkedIn
Before joining Wade & Wendy, Afif Antabli worked at LinkedIn as a Software Engineer from 2016 to 2018. During his tenure, he gained experience in software development and contributed to projects that supported LinkedIn's extensive platform. His role involved collaborating with teams to enhance system performance and user experience.
Role at Routefire
Afif Antabli served as the Head of Engineering at Routefire from 2018 to 2020. In this position, he led engineering efforts and oversaw the development of technology solutions. His leadership contributed to the company's technical direction and project execution during his two-year tenure.
Education and Expertise
Afif Antabli holds a Master of Science (MS) in Computer Science and Engineering from Santa Clara University. He also earned a Bachelor of Science (BS) in Computer Engineering from San Francisco State University. His educational background has equipped him with a strong foundation in data engineering and software development, enabling him to train large language models and prepare proprietary datasets for inference evaluations.
Technical Skills and Contributions
In his professional roles, Afif Antabli has trained large language models using proprietary datasets, focusing on the preparation and evaluation of inference results. His expertise includes building systems for data processing, normalization, and storage, as well as working with messaging queues and APIs. These skills contribute to his effectiveness in managing data platforms and enhancing data-driven decision-making.