Xiaozhe Yao

Data Scientist

https://talent.gravityer.com/xiaozhe-yao

eth-easl

Key Strengths

Extensive personal project experience in Machine Learning, LLMs, and decentralized computing.
Demonstrated proficiency in Python, C++, and shell scripting, crucial for data science and ML engineering roles.
Experience with tools like Jupyter Notebook, CUDA, and Dockerfile indicates practical ML development skills.
Current role as 'Data Scientist' at 'eth-easl' aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards cutting-edge research and decentralized systems in AI/ML, which could indicate a good fit for innovative and research-driven environments. However, the lack of diverse project types or team-based experiences makes a comprehensive cultural fit assessment difficult. The experience level is listed as 0, which contradicts the current 'Data Scientist' role, suggesting potential data inconsistency or a very recent start.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

model-spinning

May 15, 2025 – Present

model-spinning — GitHub repository

View Project

mixtera

January 25, 2024 – September 10, 2025

A lightweight, user-friendly data-plane for LLM training.

View Project

HexGen

November 30, 2023 – May 6, 2024

[ICML 2024] Serving LLMs on heterogeneous decentralized clusters.

View Project

fmengine

July 19, 2023 – September 25, 2024

Utilities for Training Very Large Models

View Project

deltazip

July 9, 2023 – July 21, 2025

Compression for Foundation Models

View Project

OpenTela

June 15, 2023 – Present

OpenTela is a decentralized compute fabric for running machine learning applications.

View Project

MDEL

April 5, 2023 – January 23, 2024

Multi-Domain Expert Learning

View Project

Decentralized_FM_alpha

December 21, 2021 – May 4, 2023

Decentralized_FM_alpha — GitHub repository

View Project

cloud-comp-arch-project

February 27, 2021 – Present

Starter code for semester project in Cloud Computing Architecture course at ETH Zurich

View Project

crosstalk-dataset

August 20, 2018 – November 18, 2019

The Crosstalk Dataset

View Project

Key Strengths

Extensive personal project experience in Machine Learning, LLMs, and decentralized computing.
Demonstrated proficiency in Python, C++, and shell scripting, crucial for data science and ML engineering roles.
Experience with tools like Jupyter Notebook, CUDA, and Dockerfile indicates practical ML development skills.
Current role as 'Data Scientist' at 'eth-easl' aligns directly with the target role.

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.

Xiaozhe Yao

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit