Changlin Li

Data Scientist

https://talent.gravityer.com/changlin-li

Member since June 29, 2026

Key Strengths

Extensive experience in deep learning and computer vision research, evidenced by multiple projects related to Neural Architecture Search (NAS), Vision Transformers, and efficient model training.
Proficiency in Python, Shell scripting, and Dockerfile, indicating strong foundational programming and deployment skills relevant to data science and MLOps.
Demonstrated ability to contribute to published research (ICCV, CVPR), suggesting a strong understanding of state-of-the-art techniques and research methodologies.
Experience with Jupyter Notebooks, indicating familiarity with data exploration, prototyping, and model development environments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily focused on academic research in computer vision and deep learning, which aligns well with roles requiring innovation and a strong theoretical foundation. The diversity of projects within this niche (NAS, Vision Transformers, proteomics pipeline) indicates a broad interest in applying advanced ML techniques. However, without information on team collaboration or project management, a full cultural fit assessment is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a focus on research and technical implementation, but collaboration, communication, and problem-solving approaches are not detailed.

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Projects

EntPruner

September 29, 2025 – November 27, 2025

EntPruner — GitHub repository

View Project

Ent-Prog

September 29, 2025 – December 16, 2025

Ent-Prog — GitHub repository

View Project

3d-proteomics-pipeline

August 21, 2025 – November 18, 2025

python scripts for a 3d multiplexed proteomics analysis pipeline demo for single-cell phenotyping in volumetric tissues

View Project

AutoProg-Zero

September 5, 2024 – Present

Efficient Training of Large Vision Models via Advanced Automated Progressive Learning

View Project

43023-dog-wear-shoes

August 22, 2024 – August 22, 2024

43023-dog-wear-shoes — GitHub repository

View Project

AutoProg

March 28, 2022 – February 26, 2025

(CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers

View Project

DS-Net

March 23, 2021 – December 31, 2021

(CVPR 2021, Oral) Dynamic Slimmable Network

View Project

BossNAS

March 22, 2021 – December 6, 2021

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

View Project

DNA

November 29, 2019 – September 23, 2021

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

View Project

Key Strengths

Extensive experience in deep learning and computer vision research, evidenced by multiple projects related to Neural Architecture Search (NAS), Vision Transformers, and efficient model training.
Proficiency in Python, Shell scripting, and Dockerfile, indicating strong foundational programming and deployment skills relevant to data science and MLOps.
Demonstrated ability to contribute to published research (ICCV, CVPR), suggesting a strong understanding of state-of-the-art techniques and research methodologies.
Experience with Jupyter Notebooks, indicating familiarity with data exploration, prototyping, and model development environments.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Changlin Li

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit