As a proud graduate of Ochanomizu University with a master's degree in Computer Science, I've been applying my expertise at Goldman Sachs for over three and a half years. My core competencies lie in full-stack development, with a strong focus on Java, React.js, design architecture for mass financial systems. I have been experiencing whole flow of software development including requirement gathering, architecture design, implementation, test and release.
Developing a centralized financial system and designing architecture enable users to project liquidity balance.
Teachig assistant for the class of the basics of word and excel and C lang.
Teaching assistant at the PC consultation centre in
Ochanomizu University.
Teach Python, Scraping skill, and the basics of Unity at programming school for adults.
Write teaching materials.
Tested the performance of new features in Cassandra4.0.
Debugged build code and created patches.
Worked as part of the Google Map team with C++ and SQL
to launch the new services in Japan.
Evaluated the accuracy of a rule-based algorithm for
selecting web pages that
meet certain criteria, and propose and implemented improvements to increase
accuracy.
Artificial immune systems are bio-inspired algorithms capable of optimizing highly difficult objective functions, with multi-modal and deceptive landscapes. In order to do so, they require large evaluation budgets. We describe how to reduce the number of function evaluations of the Opt-IA artificial immune system algorithm through the use of a surrogate model based on Gaussian Processes. Furthermore, we describe an exploration strategy, based on the Sobol sequence, to bootstrap the optimization process. We show that such methods increase the convergence speed of Opt-IA on several functions on the noiseless BBOB testbed. Our method outperforms Opt-IA on most tested functions for low-precision targets.
Publication: Yuko Sakanaka, Nathanael Aubert-Kato, ”Surrogate-Assisted Optimization of the Opt-IA Artificial Immune System Algorithm”. 2019 IEEE Symposium Series on Computational Intelligence.
This application randomly generates branches from the trunk of a tree, also make new trees on the ground by clicking. The branches have something like flowers. They are scattered when you click!
This is a Line chat Bot using Google Calendar and Line API. It replies to your chat and answers your schedules. The bot in this video is created by Google Apps Script, but I have also make another version using IBM Watson and Node-RED to make it possible to answer flexibly.