Internship at PT Astra International Tbk. - Toyota Sales Operation, widely known as Auto2000 as a digital content manager. Designed promotional medias for the company's social medias, posters, and reels.

• Won one of the company's internal content creation contests.
• Social media campaigns results in increases of up to 300% in social media reach and engagement.
• Also handled various management tasks aside from the main job description, such as the opening of a café inside a showroom and customer care service.

Designed and developed numerous commercial websites and software application projects for different client and companies under a personal DIPPY.ID agency brand.

• Various commercial sites such as an online catalogue for an Auto2000 Toyota Distributor branch, Hospitality service platform for Candhari Heaven hotel in Yogyakarta, Indonesia.
• Time and Attendance Management System for GQ Shop factory in the Philippines, which handles hundreds of employees.
• QUBIKA Hotel Management Backend system and numerous other smaller scale web-based and software development.

Part-time position in CATCHPLAY's Operation team which manages movies and series that will be aired in CATCHPLAY's movie streaming platform. Operation team consists entirely of Taiwanese employees. All communication is conducted in Chinese language.

• Quality Control of movies on CATCHPLAY's platform.
• Translation of English & Chinese to Indonesian subtitle.
• Quality Control of subtitle's timecode and translation.

Leading this joint project with college friends, aiming to revolutionize the usage of artificial intelligence and neural networks in our home country, Indonesia.

• Developing task-oriented agents for business and enterprises.
• Two agentic system has already passed Minimum Viable Product stage, and is currently undergoing beta testing.
• Our system eliminates hallucinations typically produced by large language models. Thus, making it suitable for large scale commercial use.

Developing a system to spot defects on IC wafer fabrication, which obtains input from SWIR and RGB sensors, upscales the combined image with interpolation-based upscaling and super resolution (SR) algorithm. After which, a trained neural network model will spot possible defects.