Yanyu

Data Scientist

https://talent.gravityer.com/yanyu

Member since June 27, 2026

Key Strengths

Extensive personal project experience in deep learning and computer vision, particularly with EfficientFormer, YOLObile, and SPViT.
Proficiency in Python, Shell scripting, and C++ for machine learning and system-level tasks.
Experience with model optimization and quantization (e.g., kws-gru, YOLObile).
Familiarity with Docker for containerization (YOLObile project).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong passion for deep learning and computer vision through numerous personal projects. However, the projects are heavily concentrated in research-oriented machine learning, with less visible diversity in broader data science applications, MLOps, or business intelligence. This narrow focus might indicate a specific research-oriented cultural fit rather than a broader data science role.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

yy-webpage

February 13, 2026 – Present

yy-webpage — GitHub repository

View Project

textcraftor

May 29, 2024 – June 13, 2024

textcraftor — GitHub repository

View Project

SnapFusion

June 1, 2023 – October 12, 2023

SnapFusion — GitHub repository

View Project

EfficientFormer

June 2, 2022 – August 13, 2023

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

View Project

segmentation

December 17, 2021 – January 9, 2022

segmentation — GitHub repository

View Project

MACs_calculation

November 9, 2021 – July 5, 2022

MACs_calculation — GitHub repository

View Project

SPViT

July 29, 2021 – August 28, 2024

SPViT — GitHub repository

View Project

PaS

June 15, 2021 – May 3, 2022

PaS — GitHub repository

View Project

YOLObile

August 4, 2020 – July 25, 2024

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

View Project

kws-gru

November 10, 2019 – November 10, 2019

kws weight/activation quantization

View Project

Key Strengths

Extensive personal project experience in deep learning and computer vision, particularly with EfficientFormer, YOLObile, and SPViT.
Proficiency in Python, Shell scripting, and C++ for machine learning and system-level tasks.
Experience with model optimization and quantization (e.g., kws-gru, YOLObile).
Familiarity with Docker for containerization (YOLObile project).

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 are available.

Yanyu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit