Profile
I started programming at the age of 10 and have been creating mobile apps and web services as a hobby for 10 years by using React Native, Flutter, Rails, and Next.js. I got hooked on kaggle and am now a competition and notebook expert. Studying machine learning has offered me a lot of options in developing tools, so now I want to make web services and mobile apps by using this interesting technology.
I moved to Seattle from Japan last September (2020). I really love black tea, but since coming to Seattle, I’ve come to love coffee as there are many nice cafe options.
Bio
Shoreline Community College student
Live in Seattle
masaishi_masa*yahoo.co.jp (Please change * to at sign)
Education
- 2020 ~ Shoreline Community College
- 2017 ~ 2020 Tokyo Tech High School of Science and Technology
Experience
Mar. 2023 Develop AI Bot Information Gathering Web App
I have created a web service that creates summaries and business ideas from papers and new Github repositories by Next.js.
While OpenAI's ChatGPT API does the work in summarizing and suggesting business ideas, I do the prompt engineering and also do the natural language processing preprocessing in python to improve the quality of the articles generated.
Jan. 2023 Develop Video Filter by Using Stable Diffusion
I used Stable Diffusion, which is essentially an image generation AI, to create a video filter.
Without ingenuity, the image would not be consistent with the one frame before and would re-generate a completely different image. I succeeded in improving the quality of the video by utilizing several image-processing techniques.
Animation filtered for cartoon-like effect

This is before after video.

Feb. 2023 Develop a browser game that can take any action depending on the text by using GPT-3.5.
I made a browser game with an AI Game Master powered by GPT, named TRPG_AI.
You can do anything by typing actions like "ask for help" or "tame a dragon." The AI judges success rates.
Nov. 2022 Develop an image filter mobile app that converts images to illust style by Stable DIffusion.
I used textual inversion to make Stable Diffusion generate images that look like anime background illustrations, and I trained in multiple illustration styles.
I then developed an image filter app by deploying my custom Stable Diffusion model to AWS Sagemaker and making it y-callable from a smartphone app built with Flutter.
↑ The notion video embedding did not work, so please double click on it and watch it in full screen🙏
Oct. 2022 Our team was in 2nd place at #HackSEA
We were tasked with solving mental health issues for K-12 students.
During the hackathon, we came up with a solution that would allow students to complete activities to improve their mental health tasks as if they were a game, teachers could check their mental state with questions, and connect with friends who share their interests.
Oct. 2022 I received a silver medal for my entry in the “ボケ判定AIを作ろう!”(Let's make a joke judgment AI!) in Nishika.
I entered “ボケ判定AIを作ろう!”(Let's make a joke judgment AI!) and placed 19th at Nishika. Nishika provides data science competitions in Japan.
Apr. 2022 I received a silver medal for my entry in the “March Machine Learning Mania 2022 - Men’s” and become a kaggle competition expert.
I entered the March Machine Learning Mania 2022 - Men’s at Kaggle, and I received a silver medal for my efforts.
Apr. 2022 I become a kaggle notebook expert.
I got 5 bronze medals, so I become a kaggle notebook expert.
The below code is especially appealing. I join making a game bot competition and learn some reinforcement learning methods. Since none of the code other than the official code was published, we wrote and published the code to do q-learning.
Jan. 2022 I received a bronze medal for my entry in the “PetFinder.my - Pawpularity Contest”
I entered the PetFinder.my - Pawpularity Contest at Kaggle, and I received a bronze medal for my efforts.
The competition's purpose is to predict pets pictures’ popularity for rescue animals, which offers them a higher chance of finding loving homes.
I believed that pictures’ background is not important, so I used EfficientDet to detect animals. Then I used cropping pictures to train AI models.
I listed ideas in the discussion board below.
Dec. 2021 I completed the “How to Win a Data Science Competition: Learn from Top Kagglers” course
Oct. 2021 I developed a location analysis web service called “Tokyo Analyzer”
Opening a store in an urban city such as Tokyo has a very big risk because it is difficult to do business in a place where pedestrian access is poor. Thus, I developed location analysis AI which helps locate a good place to start a business; I hope it will help retail owners who want to open a new store and expand their business.


I trained AI for predicting the number of reviews on Google maps from around pedestrian distribution data.

I wrote an essay about this topic.
Presentation Slide
Product video
Nov. 2019 I worked on a team that developed a mobile app for Japanese learners called“Casual Japanese”
We received the Mobile CategoryBest Design Award at High School PC Concours 2019.
The team name was “devastatio”.
My team members and I developed a mobile app for learning Japanese.
Dec. 2014 I developed a flashcard web service called “Our Word Book”
I received an outstanding performance award at the 2014 International Ruby Programming Contest for Junior and Senior High School Students — In Mitaka.
I made a flashcard web service that user can make their own flashcard on web.
I used Sinatra to develop this site.
Dec. 2013 I developed a programmer assistance tool called “Programmer Secretary”
I received an outstanding performance award at the 2013 International Ruby Programming Contest for Junior and Senior High School Students — In Mitaka.
I created “Programmer Secretary”, which is a tool to help programmers by creating templates and so on.