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CodeNext
Software Engineer
June 19, 2026 – Present
SENets
September 7, 2017 – September 15, 2017
Implementation of SENets by chainer (Squeeze-and-Excitation Networks: https://arxiv.org/abs/1709.01507)
View Projectshake_shake
February 25, 2017 – August 24, 2017
Implementation of Shake-Shake by chainer (Shake-Shake regularization of 3-branch residual networks: https://openreview.net/forum?id=HkO-PCmYl)
View Projectchainer_image_recognition
December 20, 2016 – December 22, 2016
links of my implementation
View Projectneural_architecture_search_with_reinforcement_learning_appendix_a
December 19, 2016 – July 18, 2018
Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
View Projectprelu_net
December 16, 2016 – February 2, 2017
Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)
View Projectfractal_net
December 10, 2016 – September 22, 2017
Implementation of FractalNet by chainer (FractalNet: Ultra-Deep Neural Networks without Residuals: https://arxiv.org/abs/1605.07648)
View Projectresnext
December 9, 2016 – August 9, 2017
Implementation of ResNext by chainer (Aggregated Residual Transformations for Deep Neural Networks: https://arxiv.org/abs/1611.05431)
View Projectgooglenet_v3
December 7, 2016 – May 18, 2017
Implementation of googlenet-v3 by chainer(Rethinking the Inception Architecture for Computer Vision :https://arxiv.org/abs/1512.00567)
View Projectgooglenet_v2
December 7, 2016 – April 29, 2017
Implementation of googlenet-v2 by chainer (Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: https://arxiv.org/abs/1502.03167)
View Projectgooglenet
December 4, 2016 – December 9, 2016
Implementation of GoogLeNet by chainer (Going Deeper with Convolutions: https://arxiv.org/abs/1409.4842)
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on deep learning research implementations. While this shows strong initiative and a passion for a specific technical domain, there is no evidence of diverse project types, team collaboration, or experience in broader software engineering contexts. This narrow focus might indicate a specific cultural fit for research-oriented roles but lacks breadth for a general 'Software Engineer' position without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.