Experience

Tokyo Institute of Technology

• Japan
• Higher Education
• 500 - 600 Employee

• Specially Appointed Assistant Professor

  • Apr 2022 - Present

  ■ Designed low phase-noise Voltage Controlled Oscillator in TSMC 180 nm process■ Upgraded layout design of MEMS capacitive accelerometer for high sensitivity for detecting muscle sounds towards Parkinson’s diagnosis■ Implemented low power Sony ELTRESS based Edge IoT water level sensor for Izumo City, Shimane, Japan■ Modeled and tested functionality of designed MEMS accelerometer using system-level design and Multiphysics (COMSOL)

• Project Researcher

  • Oct 2020 - Mar 2022

  ■ Developed gas sensors with high selectivity using atomic gold-polyaniline nanocomposites - development of multi-sensor array towards chemical informatics■ Implemented low latency analog front-end hardware protype with C++ embedded software for lab-fabricated electrochemical gas sensor■ Extracted chemical information from sensor data using PCA, LDA, feature importance, PLS regression towards class discriminability



Fixstars Corporation（株式会社フィックスターズ）

• Japan
• Software Development
• 1 - 100 Employee

• Machine Learning Engineer

  • Jan 2022 - Mar 2022

  ■ Predicted and isolated anomaly in semiconductor supply chain data using soft clustering, lasso regression and non-negative matrix factorization (NMF) among other methods ■ Implemented automation for determining NMF components towards parts-based learning of anomaly from wafer image data ■ Experienced working with OEM & ODM partnerships ■ Predicted and isolated anomaly in semiconductor supply chain data using soft clustering, lasso regression and non-negative matrix factorization (NMF) among other methods ■ Implemented automation for determining NMF components towards parts-based learning of anomaly from wafer image data ■ Experienced working with OEM & ODM partnerships



Magnetic Square Co. Ltd.

• Software Developer

  • Apr 2020 - Mar 2022

  ■ Achieved gesture recognition with 2K RAM μC with 88% accuracy through data augmentation, signal processing, binary classification ■ Implemented image processing model (CNN) with 92% accuracy towards fish image classification for sustainable fishing towards SDGs ■ Experience working with OEM & ODM partnerships ■ Achieved gesture recognition with 2K RAM μC with 88% accuracy through data augmentation, signal processing, binary classification ■ Implemented image processing model (CNN) with 92% accuracy towards fish image classification for sustainable fishing towards SDGs ■ Experience working with OEM & ODM partnerships



Digzyme Co. Ltd.

• Machine Learning Researcher

  • Apr 2020 - Mar 2022

  ■ Prepared dataset of over 100,000 proteins from open-source BRENDA, UniProt, Protherm databases by web-scraping with API ■ Executed classifier, regressor models for predicting proteins with 80% accuracy using cost-sensitive learning, hyper-parameter tuning ■ Prepared dataset of over 100,000 proteins from open-source BRENDA, UniProt, Protherm databases by web-scraping with API ■ Executed classifier, regressor models for predicting proteins with 80% accuracy using cost-sensitive learning, hyper-parameter tuning



IMTEK, University of Freiburg

• Germany
• Research Services
• 100 - 200 Employee

• Visiting Researcher

  • Nov 2019 - Nov 2019

  -- Host: Dr. Sebastian Gutsch -- Host: Dr. Sebastian Gutsch



Georgia Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Visiting Researcher

  • Apr 2017 - Apr 2017

  -- Hosts and Advisors: Prof. Jiri Janata & Dr. Mira Josowicz -- Hosts and Advisors: Prof. Jiri Janata & Dr. Mira Josowicz