Linchen Xiao is a Senior Algorithm Engineer with nine years of experience building data-driven solutions across fintech and enterprise environments, currently driving algorithm development at Ant Group in Shanghai. With an academic foundation in telecommunications and information technology from RWTH Aachen and German universities, she blends strong engineering rigor with a practical Data Science mindset. She contributes to open-source AI tooling—most notably adding subjective evaluation and multi-backend integration to the popular OpenCompass LLM evaluation platform—demonstrating expertise in backend systems and model evaluation. Her background spans product-oriented roles at METRO.digital and METRONOM, plus hands-on data engineering at Vodafone, giving her a rare combination of research-quality modeling and production engineering. Colleagues describe her as someone who treats engineering as data’s best friend: pragmatic, detail-oriented, and focused on measurable impact.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Information Technology, 1.9, Bachelor of Science (B.Sc.), Information Technology, 1.9 at Fachhochschule Lübeck
Master of Science (MSc), Telecommunications Engineering, 1.5, Master of Science (MSc), Telecommunications Engineering, 1.5 at RWTH Aachen University
Bachelor of Engineering (B.Eng.), Information Technology, 1.9, Bachelor of Engineering (B.Eng.), Information Technology, 1.9 at East China University of Science and Technology
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Role in this project:
Back-end Developer & ML Engineer
Contributions:13 releases, 201 reviews, 256 PRs in 9 months
Contributions summary:Linchen primarily contributed to the development and integration of CompassBench v1.3 subjective evaluation. This involved adding new configurations for models, datasets and evaluators. The code changes include new Python scripts to handle the evaluation logic and integration with various LLM backends such as TurboMind. They also added a summarizer for analyzing subjective evaluation results.
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Contributions:126 pushes, 93 branches in 8 months
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