Yuji Kanagawa

Data Scientist

https://talent.gravityer.com/yuji-kanagawa

🌺・🌺・🌺・🌺・🌺・🌺

oist

Key Strengths

Extensive personal project experience in Python, particularly in Deep Reinforcement Learning (DRL) and AI experiments.
Demonstrated proficiency with DRL frameworks like PyTorch and environments like Mujoco.
Experience with Rust for performance-critical applications and system-level programming (e.g., rust-numpy, racer).
Current role as a Data Scientist at OIST, indicating direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal research and development in AI/ML, which aligns with an innovative and self-driven culture. However, the projects are predominantly personal, and there is only one listed professional experience, making it difficult to fully assess team collaboration and broader cultural fit. The diversity of technologies (Rust, Python, Emacs Lisp, Ruby, JavaScript) suggests adaptability.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

phyjax2d

July 18, 2024 – Present

Jax-based 2d physics

View Project

emevo

April 20, 2021 – Present

Simluate Embodied Evolution of Agents

View Project

mujoco-maze

May 21, 2020 – December 27, 2023

Simple maze environments using mujoco-py

View Project

rpf-pytorch

October 31, 2019 – November 1, 2019

PyTorch re-implementaion of Randomized Prior Functions for Deep Reinforcement Learning

View Project

intrinsic-rewards

April 23, 2019 – July 9, 2024

[WIP] A colletion of DRL algorithms with intrinsic rewards

View Project

Rainy

June 22, 2018 – September 25, 2021

:umbrella: Deep RL agents with PyTorch:umbrella:

View Project

rogue-gym

April 20, 2018 – December 11, 2023

[WIP] Highly customizable rogue-like game for AI expmeriments

View Project

rust-numpy

April 21, 2017 – Present

PyO3-based Rust bindings of the NumPy C-API

View Project

emacs-racer

September 1, 2015 – March 7, 2021

Racer support for Emacs

View Project

racer

March 3, 2014 – November 19, 2023

Rust Code Completion utility

View Project

Key Strengths

Extensive personal project experience in Python, particularly in Deep Reinforcement Learning (DRL) and AI experiments.
Demonstrated proficiency with DRL frameworks like PyTorch and environments like Mujoco.
Experience with Rust for performance-critical applications and system-level programming (e.g., rust-numpy, racer).
Current role as a Data Scientist at OIST, indicating direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Yuji Kanagawa

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit