Guanghui FU

Software Engineer

https://talent.gravityer.com/guanghui-fu

Sorbonne Université

Member since June 29, 2026

Key Strengths

Extensive experience in Python for machine learning and natural language processing, particularly in the medical and mental health domains.
Demonstrated ability to conduct research and develop models for complex problems like cognitive distortion identification and suicidal risk assessment.
Strong portfolio of personal projects showcasing practical application of deep learning and large language models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily concentrated in Python and machine learning/NLP, specifically within the medical/mental health research context. While this demonstrates deep specialization, it suggests a potentially narrow breadth of experience for a general 'Software Engineer' role. The lack of diverse technologies or project types outside of this niche might indicate a specific cultural fit for research-oriented or AI-focused teams rather than broader software engineering roles.

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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Projects

MentalGLM

October 12, 2024 – December 8, 2024

MentalGLM — GitHub repository

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3DCT-SD-IVH-ICH

April 8, 2024 – Present

3DCT-SD-IVH-ICH — GitHub repository

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FineGrainedSuicideDetection

March 18, 2024 – March 31, 2024

FineGrainedSuicideDetection — GitHub repository

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Cognitive-Pathways

March 4, 2024 – December 4, 2024

This is the repository for the paper: AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts. For more information, please see the paper.

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Chinese-MentalBERT

February 13, 2024 – October 28, 2024

Chinese-MentalBERT — GitHub repository

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medical_dino_eval

January 28, 2024 – February 12, 2024

medical_dino_eval — GitHub repository

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medical_cv_foundation_eval

January 12, 2024 – February 8, 2024

medical_cv_foundation_eval — GitHub repository

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SupervisedVsLLM-EfficacyEval

October 29, 2023 – August 3, 2025

This is the data and code for the paper: Evaluating the Efficacy of Supervised Learning vs. Large Language Models for Identifying Cognitive Distortions and Suicidal Risks in Chinese Social Media.

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counselor_support

August 29, 2023 – August 30, 2023

counselor_support — GitHub repository

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FrequencyFeatureMap

May 10, 2023 – May 11, 2023

This code is designed to visualize and save the feature maps of 3D and 2D models. The feature maps can be viewed in the image domain and frequency domain, and saved as .npy files.

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Key Strengths

Extensive experience in Python for machine learning and natural language processing, particularly in the medical and mental health domains.
Demonstrated ability to conduct research and develop models for complex problems like cognitive distortion identification and suicidal risk assessment.
Strong portfolio of personal projects showcasing practical application of deep learning and large language models.

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.

Guanghui FU

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit