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Spike XiongSX
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Spike Xiong

@spikexiong

Machine Learning Engineer at MDPI building LLM applications, including an academic editing assistant that outperformed public LLM APIs.

China
Message

At MDPI, I architect and deploy AI microservices for scholarly publishing, including enterprise NLP, computer vision, and LLM solutions. I established automated CI/CD and model lifecycle management pipelines using FastAPI and MLflow.

I built an AI English Editing Assistant by fine-tuning Mistral and Qwen for academic grammar correction, and established the MDPI academic GEC benchmark, where my SFT and DPO approach outperformed public LLM APIs. I also built a semantic search recommendation engine indexing academic profiles and publication records, improving reviewer recommendation acceptance by 30%.

Experience

Work history, roles, and key accomplishments

MDPI logoMD
Current

AI Engineer, Data Scientist, Team Leader

MDPI

Jan 2021 - Present (5 years 9 months)

Collaborated with European AI engineering teams on international project development and recruitment. Architected and deployed scalable AI microservices using FastAPI and MLflow, establishing automated CI/CD and model lifecycle management pipelines for scholarly publishing.

YT

Machine Learning Engineer, Data Scientist

Yuanbao Tech

Oct 2019 - Jan 2021 (1 year 3 months)

Classified various texts including policies, news, and recruitment messages using LSTM and Albert models. Designed a distributed crawl system with Scrapy and customized middle pipelines to format the data.

Education

Degrees, certifications, and relevant coursework

WU

Wuhan University

Master, Power and Engineering

Master of Power and Engineering from Wuhan University, completed in 2015.

Wuhan University of Technology logoWT

Wuhan University of Technology

Bachelor, Power and Engineering

Bachelor of Power and Engineering from Wuhan University of Technology, completed in 2012.

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