ÂÜÀòÂÒÂ×

Martin Schweiger

Senior API Support Engineer at Assembly AI

Martin Schweiger has a diverse work experience spanning various industries. In 2015, they worked as a Photo Editor at the Singapore Chinese Embassy, where they gained valuable experience in working under pressure. In 2017, they interned as an Automated Software Testing Intern at Razer Inc., where they developed skills in software design, teamwork, and coding endurance. From 2020 to 2021, Martin served as a Lieutenant in the Singapore Armed Forces. In 2022, they joined Siemens as a Software Engineer, where they collaborated on the Rail Enterprise Asset Management System project and worked with the data team to deliver data insights and reports. Currently, Martin works at AssemblyAI as an API Support Engineer.

Martin Schweiger has a diverse educational background. Martin began their education at Victoria School in Singapore, where they completed the Integrated Programme from 2014 to 2017, earning a degree in an unspecified field of study. After that, they attended Victoria Junior College from 2018 to 2019, where they obtained A levels in an unspecified field of study.

In 2020, Martin pursued logistics education at the ARMY Logistics Training Institute (ALTI), where they completed a diploma program in Logistics, Materials, and Supply Chain Management.

Recently, from 2022 to 2025, Martin Schweiger enrolled in FernUniversität in Hagen, where they are currently working towards their Bachelor of Science degree in Mathematische Technische Software Entwicklung.

In addition to their formal education, Martin has also obtained several certifications. Martin completed courses such as "Analyze Data to Answer Questions," "Prepare Data for Exploration," "Process Data from Dirty to Clean," "Ask Questions to Make Data-Driven Decisions," and "Foundations: Data, Data, Everywhere." These certifications were obtained from Coursera in the months of June, July, August, and September of 2021.

Overall, Martin Schweiger has a varied educational background with a focus on logistics and data analysis.

Links

Previous companies

Siemens logo

Org chart