
AI Research Software Engineer | Kaggler
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
株式会社 調和技研 | CHOWA GIKEN Corp
Data Scientist
June 23, 2026 – Present
VideoSwin
September 28, 2023 – October 29, 2025
Keras 3 Implementation of Video Swin Transformers for 3D Video Modeling
View ProjectVideoMAE
September 28, 2023 – January 19, 2024
[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
View ProjectDOLG-TensorFlow
October 25, 2021 – June 19, 2023
Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2
View ProjectHybridModel-GradCAM
October 22, 2021 – October 14, 2023
A Keras implementation of hybrid efficientnet swin transformer model.
View ProjectML-Resource
August 21, 2019 – February 19, 2024
A concise resource repository for machine learning
View ProjectTransfer-Learning-PySpark
July 22, 2019 – November 12, 2019
Multi-Class Classification | Transfer Learning With PySpark
View ProjectRaspberry-Pi-WebSocket
May 6, 2018 – November 16, 2021
Control Raspberry Pi GPIOs with WebSockets
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards cutting-edge research and development in AI/ML, which aligns well with an innovative and research-driven culture. The diversity of projects, from resource repositories to complex model implementations, suggests a proactive and self-driven learning attitude. However, the lack of team-based projects or collaborative descriptions makes it difficult to fully assess cultural fit beyond individual technical contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.