Benyamin Dariadi

Benyamin Dariadi started their work experience in 2019 as a Researcher-Intern at the Nuclear Energy Regulatory Agency of Indonesia, where they conducted analyses on reactor characteristics. Benyamin then worked as a Research Assistant at the Department of Nuclear Engineering and Engineering Physics UGM, participating in a project assessing potential nuclear power reactors.

In 2020, Benyamin joined KoinWorks as a Data Scientist, building an engine for transaction categorization and developing a Named-Entity Recognition (NER) model. Benyamin later became an Artificial Intelligence Engineer at KoinWorks, focusing on spend analytics and designing adaptive engines.

Currently, Benyamin is an AI Engineer at Brick - Financial API. Their responsibilities include transaction categorization, entity extraction, name matching, and fraud detection. Benyamin develops models, deploys endpoints, maintains model performance, and applies statistical methods to detect suspicious transactions.

Benyamin Dariadi pursued their education at Universitas Gadjah Mada (UGM) from 2015 to 2019, earning a Bachelor's degree in Nuclear Engineering. In addition to their formal education, they obtained several certifications. In 2019, they completed the Regional Training Course on the Additional Protocol offered by the International Atomic Energy Agency (IAEA). In 2018, they participated in the ASEAN School on Plasma and Nuclear Fusion (ASPNF) & SOKENDAI Winter School, organized by the French Alternative Energies and Atomic Energy Commission (CEA). Benyamin also received training in Radiochemistry from the Badan Tenaga Nuklir Nasional (BATAN), though the specific month is not provided. Furthermore, in 2017, they participated in the Petroleum Inspiring Talk and Trip (PITT) program organized by STEM Akamigas Cepu. Most recently, in 2020, they completed a certification in Machine Learning from Stanford Online.