Vincent Zhuang

Data Scientist

https://talent.gravityer.com/vincent-zhuang

Member since June 19, 2026

Key Strengths

Demonstrated interest in machine learning and deep learning through personal projects like 'MoviePredictions', 'pytorch-deep-bayesian-bandits', 'Deep-Go', and 'TF-VAE'.
Experience with Python, a core language for Data Science.
Exposure to C++ and CUDA, indicating potential for performance-critical data science applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal exploration in machine learning and deep learning, which aligns with an innovative and research-oriented culture. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit for collaborative environments. The projects are diverse in their specific ML/DL applications, but all are personal, which might indicate a preference for independent work.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

StageOpt

April 2, 2021 – April 2, 2021

StageOpt — GitHub repository

View Project

pytorch-deep-bayesian-bandits

August 8, 2019 – September 4, 2019

PyTorch port and extension of the Deep Bayesian Bandits Library

View Project

TF-VAE

December 3, 2016 – December 4, 2016

Variational autoencoder

View Project

CUDA-convnet

May 12, 2016 – June 7, 2016

CUDA-convnet — GitHub repository

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backbone

February 17, 2016 – December 13, 2016

code for backbone project

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Deep-Go

January 21, 2016 – December 8, 2016

Deep-Go — GitHub repository

View Project

CS143

October 18, 2015 – December 17, 2015

Network simulator for Caltech CS 143

View Project

MoviePredictions

January 1, 2015 – January 9, 2015

MoviePredictions — GitHub repository

View Project

Key Strengths

Demonstrated interest in machine learning and deep learning through personal projects like 'MoviePredictions', 'pytorch-deep-bayesian-bandits', 'Deep-Go', and 'TF-VAE'.
Experience with Python, a core language for Data Science.
Exposure to C++ and CUDA, indicating potential for performance-critical data science applications.

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.

Vincent Zhuang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit