Junnosuke Kado

Data Scientist

https://talent.gravityer.com/junnosuke-kado

Member since June 22, 2026

Key Strengths

Demonstrated interest in Deep Learning and Machine Learning through multiple personal projects (pytorch_SSD, pytorch.dl, pytorch_TextBoxesPP, PyTorch_TrackNet).
Experience with Python, a core language for Data Science.
Exposure to various tools and technologies including PyTorch, Jupyter Notebook, and basic shell scripting.
Developed a Numpy-like library in Swift, indicating an understanding of numerical computing fundamentals.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal exploration and development in machine learning and data science. The diversity of projects, including a numpy-like library in Swift and a GUI app for OCR modification, suggests a proactive and curious individual. However, the lack of team projects or professional experience makes it difficult to assess collaboration and cultural alignment in a professional setting. The projects align well with a Data Scientist role, but the breadth of skills outside of core ML/Python is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

homebrew-vibeguardian

April 16, 2026 – Present

homebrew-vibeguardian — repository

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vibeguardian

April 16, 2026 – Present

The guardian of your environment. Keep your secrets invisible to AI.

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rest_framework_channels

August 10, 2024 – June 28, 2025

The enhanced modules for REST WebSockets using django channels.

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cldvis-txtmodifier

September 13, 2020 – May 2, 2021

This GUI App allows us to modify results predicted by Google cloud vision OCR.

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pytorch.dl

July 2, 2020 – October 3, 2023

pytorch.dl — repository

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pytorch_TextBoxesPP

June 9, 2020 – June 29, 2020

textbox++ implementation with PyTorch

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PyTorch_TrackNet

April 21, 2020 – April 30, 2020

TrackNet

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pytorch_SSD

April 9, 2020 – June 25, 2020

Single Shot MultiBox Detector (SSD) Implementation with PyTorch

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testtest

January 22, 2020 – February 17, 2020

勉強会用のテストRepository

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Matft

November 27, 2019 – Present

Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)

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Key Strengths

Demonstrated interest in Deep Learning and Machine Learning through multiple personal projects (pytorch_SSD, pytorch.dl, pytorch_TextBoxesPP, PyTorch_TrackNet).
Experience with Python, a core language for Data Science.
Exposure to various tools and technologies including PyTorch, Jupyter Notebook, and basic shell scripting.
Developed a Numpy-like library in Swift, indicating an understanding of numerical computing fundamentals.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Junnosuke Kado

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit