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Assessing your cultural and operational fit
DHBE
November 27, 2022 – November 27, 2022
Public Implementation of AsiaCCS 2023 paper "DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation"
View Projectkgraph-win
January 6, 2020 – January 6, 2020
kgraph(https://github.com/aaalgo/kgraph) for windows
View ProjectDirchletMixtureModel
December 27, 2018 – January 9, 2019
Variational inference for Dirchlet Mixture Model (implementation of "Bayesian estimation of Dirichlet mixture model with variational inference")
View ProjectVAE-GAN
May 24, 2018 – November 21, 2018
Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic research and personal implementations in machine learning and deep learning. While demonstrating strong technical interest, the direct alignment with a general 'Backend Engineer' role, which often requires broader system design, API development, and database skills, is not explicitly evident. The project diversity is good within the ML/DL domain, but less so across typical backend engineering stacks. The candidate has no listed professional experience or education, which limits the assessment of cultural fit in a team or corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.