Zhijie Deng

Backend Engineer

https://talent.gravityer.com/zhijie-deng

Tenure-track Assistant Professor, Shanghai Jiao Tong University

Shanghai

Key Strengths

Extensive personal project experience in Python, particularly in machine learning and deep learning domains.
Demonstrated proficiency in Python, Shell, C++, and Dockerfile through project work.
Experience with advanced topics like Generative Adversarial Networks, Diffusion Models, and Bayesian Deep Learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in academic/research-oriented machine learning, primarily using Python. While this demonstrates deep technical capability in a specific area, it suggests a potential mismatch for a general 'Backend Engineer' role which typically requires broader system design, database, API development, and distributed systems experience. The lack of diverse project types (e.g., web services, data pipelines, infrastructure) limits the assessment of cultural fit for a standard backend team.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.

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Assessing your cultural and operational fit

Projects

JacobiForcing

June 25, 2025 – Present

[ICML 2026] Jacobi Forcing: Fast and Accurate Diffusion-style Decoding

View Project

Consistency_LLM

November 28, 2023 – November 16, 2024

[ICML 2024] CLLMs: Consistency Large Language Models

View Project

OSD

August 2, 2023 – December 3, 2024

OSD — GitHub repository

View Project

Calibrated-DPMs

February 21, 2023 – February 22, 2023

Official code for "On Calibrating Diffusion Probabilistic Models"

View Project

ELLA

March 30, 2022 – October 12, 2022

Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')

View Project

NeuralEigenFunction

September 1, 2021 – June 10, 2022

NeuralEigenFunction — GitHub repository

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ScalableBDL

October 5, 2020 – July 25, 2024

Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"

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CAT

July 29, 2019 – November 21, 2019

Code for "Cluster Alignment with a Teacher for Unsupervised Domain Adaptation"

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BVAT

July 29, 2019 – July 29, 2019

Code for "Batch Virtual Adversarial Training for Graph Convolutional Networks"

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StructuredGAN

October 3, 2017 – November 2, 2017

SGAN: Structured Generative Adversarial Networks

View Project

Key Strengths

Extensive personal project experience in Python, particularly in machine learning and deep learning domains.
Demonstrated proficiency in Python, Shell, C++, and Dockerfile through project work.
Experience with advanced topics like Generative Adversarial Networks, Diffusion Models, and Bayesian Deep Learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.

Zhijie Deng

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit