Jinze Bai

Data Scientist

https://talent.gravityer.com/jinze-bai

Peking University

Member since June 26, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (ATRank, OFASys, DeepID1, FAVOR, GNN_tutorial, MIQP).
Experience with Python, C++, and Go, indicating versatility in programming languages.
Exposure to advanced topics like Attention Mechanisms, Multi-Modal Learning, Graph Neural Networks, and Optimization (MIQP).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and complex technical challenges, which could align well with an innovative and problem-solving culture. However, the lack of team-based projects or professional experience beyond a current role at a university makes it difficult to fully assess cultural fit. The projects are diverse in topic but primarily personal, which might indicate a preference for individual contribution.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

OFASys

December 8, 2022 – January 7, 2023

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models

View Project

FAVOR

November 18, 2020 – November 19, 2020

FAVOR — GitHub repository

View Project

GNN_tutorial

August 31, 2020 – August 31, 2020

GNN_tutorial — GitHub repository

View Project

MIQP

January 28, 2018 – February 12, 2018

MIQP — GitHub repository

View Project

ATRank

December 25, 2017 – December 18, 2020

An Attention-Based User Behavior Modeling Framework for Recommendation

View Project

Stegano-new

February 7, 2017 – March 9, 2017

Stegano-new — GitHub repository

View Project

DeepID1

December 22, 2016 – December 23, 2016

Implementation of DeepID1 using tensorflow.

View Project

gspan

October 17, 2016 – October 28, 2016

golang gsapn

View Project

lsh

August 19, 2016 – August 19, 2016

C minhash lsh education-orient

View Project

rbtree

May 29, 2016 – May 29, 2016

red-black tree with golang

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (ATRank, OFASys, DeepID1, FAVOR, GNN_tutorial, MIQP).
Experience with Python, C++, and Go, indicating versatility in programming languages.
Exposure to advanced topics like Attention Mechanisms, Multi-Modal Learning, Graph Neural Networks, and Optimization (MIQP).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Jinze Bai

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit