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RESUME

Anchor 1
Work​
experience​
Research Assistant, AIST

October 2017 - present

 

I research low bitwidth CNN model. I implemented C++ framework for CNN which works in any types using "template".

 

 

Teaching Assistant, The University of Tokyo

May 2017 - August 2017

 

I introduced my department to girls students and get in consultation.

I also made a presentation about my career with the guidance of my department.

 

 

Software Engineer, HERP Inc.

May 2017 - October 2017

 

We are developing web tools for HR. I implemented scraping function and some new user interfaces.

 

 

STEP Internship, Google Japan

September 2016 - November 2016

 

I joined the search team. I developed a system using image processing.

 
Teacher, Keio Tutorial School

September 2013 - September 2016

Teaching math, science(physics, chemistry), English and Japanese for junior high school and high school student  

Skills

Image Processing 

Linux(Ubuntu / CentOS) 

FPGA (Vivado, Xilinx)

Languages

C++​ (2 years)

Python (2 years)

Verilog (0.5 years)​

Education
M.E, The University of Tokyo
Dept. of Electrical Engineering and Information Systems Graduate School of Engineering

April 2017 - present

 

I finished some courses about Machine Learning ( http://deeplearning.jp/lectures/aai-2017a/ ), Cloud ( http://cloud.enpit.jp/ ) and Data Science ( http://dss.i.u-tokyo.ac.jp/advance.html ) . 

Supervisor: Professor, Tomohiro Kudoh  

 

 

B.E, The University of Toyo
Dept. of Electrical and Electronic Engineering

April 2013 - March 2017

 

Thesis title: Create Kakejiku Image Dataset And Examine Visual Feature of Brush Letter

Supervisor: Associate Professor, Koji Yatani 

Research

Currently, I'm very interested in machine learning. Right now I'm researching low bitwidth CNN. My greatest curiosity is how many bits are needed for CNN training. I have already implemented CNN's framework in C++ from scratch that can be computed with various representations of numbers. Using that framework, I'm analyzing the distribution of values in CNN to know how many bits are needed.

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