Hi, I’m Thanasarn Tantivirun. I’m a mechanical engineer with an MSc in Biomedical Engineering and Medical Physics. My work spans automated software testing, low-code development, and biomedical research, with experience in AI, data analytics, and advanced imaging. I enjoy applying engineering methods to practical healthcare, research, and product development challenges, always aiming to deliver robust, user-friendly solutions. I’ve collaborated across academia and industry (Siemens, ZF Friedrichshafen, TU Munich) to deliver ML models, real-time data analytics dashboards, and 3D CAD modeling. I’m proficient in Python, ML frameworks, and web technologies (AI Cloud Platform), and I’m eager to contribute to multidisciplinary teams on innovative projects.

Thanasarn Tantivirun

Hi, I’m Thanasarn Tantivirun. I’m a mechanical engineer with an MSc in Biomedical Engineering and Medical Physics. My work spans automated software testing, low-code development, and biomedical research, with experience in AI, data analytics, and advanced imaging. I enjoy applying engineering methods to practical healthcare, research, and product development challenges, always aiming to deliver robust, user-friendly solutions. I’ve collaborated across academia and industry (Siemens, ZF Friedrichshafen, TU Munich) to deliver ML models, real-time data analytics dashboards, and 3D CAD modeling. I’m proficient in Python, ML frameworks, and web technologies (AI Cloud Platform), and I’m eager to contribute to multidisciplinary teams on innovative projects.

Available to hire

Hi, I’m Thanasarn Tantivirun. I’m a mechanical engineer with an MSc in Biomedical Engineering and Medical Physics. My work spans automated software testing, low-code development, and biomedical research, with experience in AI, data analytics, and advanced imaging. I enjoy applying engineering methods to practical healthcare, research, and product development challenges, always aiming to deliver robust, user-friendly solutions.

I’ve collaborated across academia and industry (Siemens, ZF Friedrichshafen, TU Munich) to deliver ML models, real-time data analytics dashboards, and 3D CAD modeling. I’m proficient in Python, ML frameworks, and web technologies (AI Cloud Platform), and I’m eager to contribute to multidisciplinary teams on innovative projects.

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Experience Level

Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Intermediate
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Language

Thai
Fluent
English
Fluent
French
Beginner
German
Fluent

Work Experience

Automated Software Testing and Business Development (Werkstudent) at Siemens AG
April 1, 2023 - October 16, 2025
Automated testing of a contract management and loan approval system using HP ALM. Developed a low-code web app (HTML, JavaScript, JSON) using PowerApps and PowerAutomate for workflow automation and product lifecycle management. Queried financial data using SharePoint, SQL, and Power BI for real-time reporting and dashboards. Implemented AI and RPA automation using Microsoft Azure AI services, UiPath, and Automation Anywhere with JavaScript and HTTP/REST API integration to digitize and extract invoices and banking data via OCR and automate Purchase Order verification.
Intern at ZF Friedrichshafen
July 31, 2016 - October 16, 2025
Automated drivetrain vibration and damping optimization in MATLAB for Multi-Body Simulation using regression techniques and terminal scripting (Bash). Created Graphical User Interface in Matlab for flexible inputs and multi-data processing. Presented final results to ZF’s acoustic, dynamic, and vibration department in German.
Research Assistant in Haptic Devices and Microfluidic Technology at HaptiX Lab, University of Michigan
March 31, 2019 - October 16, 2025
Developed a tactile display with deformable microfluidic surfaces for Braille and tactile graphics using soft-lithography and laser micromachining. Designed electronics and programmed microcontrollers (Arduino, C++) for device control. Co-authored a paper at the 2018 IEEE Haptics Symposium; nominated for Best Demo Award.
Research Intern in Medical Image Segmentation at Artificial Intelligence in Medicine Lab, Mahidol University
February 9, 2024 - October 16, 2025
Utilized a 3D U-Net deep learning model in Python PyTorch for automatic segmentation of intracranial aneurysms from X-ray CT scans. Model achieved a Dice Similarity Coefficient score of 0.9 (1.0 highest) for brain aneurysm segmentation task.

Education

M.Sc. Biomedical Engineering and Medical Physics at Technical University of Munich
September 1, 2022 - June 1, 2025
M.Sc. Robotics and Artificial Intelligence at Technical University of Munich
May 1, 2019 - May 1, 2021
Bachelor of Science in Mechanical Engineering at University of Michigan
August 31, 2014 - April 30, 2018
Master Thesis in Lab-on-a-Chip Design for Quantum Sensing at Chair of Quantum Sensing, Technical University of Munich
March 11, 2024 - July 25, 2025

Qualifications

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Industry Experience

Healthcare, Software & Internet, Life Sciences, Education, Professional Services