Key Strengths

Extensive experience in Machine Learning, Deep Learning, and Reinforcement Learning, particularly within the gaming industry.
Proven track record in MLOps, including building ML workflow frameworks and infrastructure (Kubernetes, Airflow, Docker, GCP).
Experience with large-scale model finetuning and inference optimization (SGLang).
Leadership experience in managing ML engineering teams and defining technical foundations.
Strong background in Python and relevant ML frameworks (PyTorch, Scikit-Learn).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a strong background in the gaming industry, which aligns well with a dynamic, innovation-driven culture. Their experience spans various companies from startups to large enterprises, indicating adaptability. The focus on ML engineering roles is consistent, but the lack of diverse project types outside of gaming and ML might suggest a narrower cultural fit for roles requiring broader domain expertise. The AWS certification, while relevant, is listed with a future issue date, which is unusual.

Soft Skills & Operational Fit

The candidate's resume indicates experience in leading teams and managing projects, suggesting strong operational fit and leadership potential. Descriptions of optimizing costs and contributing to open source demonstrate initiative and problem-solving. However, without specific psychometric test results, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.

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Yudi Xue

ML Engineer

https://www.opentalent.in/yudi-xue

LLM @ Epicgames

Epic Games

North Vancouver, British Columbia, CanadaMember since June 24, 2026

https://www.opentalent.in/yudi-xue

About

machine learning for game makers

Top Skills

Deep LearningModel TrainingData EngineeringUnityUnreal EngineGoogle BigQueryAirflowMlopsGenerative AiPythonEclipseJavaAgile Methodologies

Skills

Deep LearningModel TrainingData EngineeringUnityUnreal EngineGoogle BigQueryAirflowMlopsGenerative AiPythonEclipseJavaAgile MethodologiesD3.jsScrumDistributed SystemsSoftware Design

Education

University of Saskatchewan

Master of Science - MS, Computer Science

January 1, 2009 – January 1, 2011

University of Saskatchewan

B.Sc, Computer Science

January 1, 2006 – January 1, 2009

Experience

Epic Games

Senior Research Engineer

December 1, 2025 – Present

Vancouver, British Columbia, Canada · Remote

Jam & Tea Studios

Founding Engineer, Machine Learning

August 1, 2023 – October 1, 2025

Vancouver, British Columbia, Canada · Remote

Phoenix Labs

Senior Programmer - Machine Learning

July 1, 2021 – August 1, 2023

Kabam

Lead Machine Learning Engineer

February 1, 2019 – July 1, 2021

Kabam

Senior Machine Learning Engineer

March 1, 2018 – February 1, 2019

Certifications

AWS Certified Solutions Architect - Associate

Amazon Web Services (AWS)

June 24, 2026 – Present

Key Strengths

Extensive experience in Machine Learning, Deep Learning, and Reinforcement Learning, particularly within the gaming industry.
Proven track record in MLOps, including building ML workflow frameworks and infrastructure (Kubernetes, Airflow, Docker, GCP).
Experience with large-scale model finetuning and inference optimization (SGLang).
Leadership experience in managing ML engineering teams and defining technical foundations.
Strong background in Python and relevant ML frameworks (PyTorch, Scikit-Learn).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit