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Kohsuke Ide

早稲田大学 / Faculty of Science and EngineeringTokyo, Japan

Kohsuke Ide

早稲田大学 / Faculty of Science and Engineering

Deep learning, Computer Vision, Abstract Reasoning,アルゴリズム, Data Science

早稲田大学基幹理工学部、機械科学・航空宇宙学科(副専攻:情報通信学科)の井手康允です。高校に入学してからプログラミングの勉強を始め、主にpython,C++,C#に触れてきました。 3D再構成/常識獲得などに興味があります。 https://www.linkedin.com/in/kohsuke-ide-606a32236/

Ambition

In the future

データ分析や機械学習について新しく学びたい。 また、今まで学習してきたアルゴリズムやゲーム環境構築などの能力を活かせる仕事も興味あり。 大学/インターン先ではコンピュータービジョンおよび強化学習の分野での研究に取り組んでいる。

早稲田大学4 years

Faculty of Science and Engineering

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I am currently pursuing a degree in Applied Mechanics and Aerospace Engineering at Waseda University, where I have also minored in the Department of Computer Science and Communications Engineering. This has equipped me with strong foundational skills in programming, data structures, and algorithms.

About 株式会社Preferred Networks

株式会社Preferred Networks3 months

Research Engineer(Intern)Present

- Present

Computer vision(3D Gaussian Splatting)

National Institute of Advanced Industrial Science and Technology (AIST)10 months

Machine Learning Researcher(Intern)Present

- Present

Investigate the latest technologies in computer vision and related fields based on academic papers, and perform reproducible implementations. Further, extend the research to devise new methods.

About 株式会社Lightblue

株式会社Lightblue3 years

ML Engineer(Intern)

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As an ML Engineer intern at LightBlue-Technology, I have demonstrated proficiency in a wide range of programming languages, machine learning frameworks, and technologies. My notable achievements include creating and fine-tuning a highly accurate ML model for motion classification, conducting thorough EDA and feature selection, implementin

About エムスリー株式会社

エムスリー株式会社2 months

MLOps Engineer(Intern)

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Developed and open-sourced a robust solution to automatically resolve Out-of-Memory (OOM) errors in Kubernetes jobs, bolstering system resilience across various environments. Originally tailored for Google Kubernetes Engine (GKE) on Google Cloud Platform (GCP), the tool is undergoing enhancements to guarantee universal compatibility with diverse Kubernetes environment.

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言語

  • Japanese - Native
  • English - Native

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