TE-HSIN CHEN
Highly motivated and collaborative Data Scientist. Experience with deep learning in images for a fully automated system, machine learning in sensor for activity recognition, and co-development of phantom SDK for python with Vision Research Inc. 3+ years of data analysis and image processing in academia.
Skills
Programming skills
- Python
- C/C++
- AWS
Professional skills
- Data/Signal analysis
- Machine Learning
- Image Processing
- Deep Learning
- Optics
Language
- Chinese — Native
- English — Fluent
Work Experience
Jul 2021 - Present
Software engineer Cyweemotion
- Team-building with the manager includes hiring, mentoring, and cross-functional communication.
- Lead a team of 6 people to internally provide cloud solutions.
- Hand-gesture detection of finger rubbing and clenching on a smart watch.
- Responsible for a variety of human activity recognition on a smart watch.
- Sensor fusion with UKF using the signal of accelerometer and gyroscope.
Aug 2019 - Jul 2021
Research assistant Academia Sinica
- Designed an algorithm to speed up the whole automated process which leads to saving 42% of time.
- Developed a fully automated system with image segmentation and classification using deep learning.
- Developed a GUI using tkinter for real-time image processing on camera to foresee statistical results.
- Applied data analysis and image processing on video to reveal the signal of 5nm nano-particles.
- Built an optical system to study gold nano-particles as small as 5 nm using camera.
Jul 2018 - Jul 2019
Alternative military service Fire department
- Developed a calm, strict and helpful personality.
- Executed hundreds of firefighting services and provided dozens of emergency medical services.
- Worked in a highly collaborative team under high-pressure environment.
Education
Sep 2016 - Jun 2018
National Cheng Kung University
Physics
- GPA: 4.11/4.3
- Awards: The Phi Tau Phi Scholastic Honor Society
- Experienced with signal analysis and theoretical modeling.
- Built an optical system for detecting cold atoms with camera.
Publications
- Quantitative Imaging of Single Light-Absorbing Nanoparticles by Widefield Interferometric Photothermal Microscopy, ACS Photonics 2021, 8, 2, 592-602
- Polarization dependence of 133Cs 6S1/2-6P3/2-11S1/2 electromagnetically induced transparency at room temperature, Opt. Express 28, 26313-26323 (2020)
