Mark Li

Software Engineer at Databricks

Los Angeles, California, United States
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Summary

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Rockstar
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Top School
Mark Li is a software engineer and data scientist from Carnegie Mellon with five years of hands-on experience building full-stack systems, data pipelines, and LLM evaluation tooling. He combines backend engineering (Python, Flask, SQL) with research-grade analysis—coauthoring a NeurIPS-accepted paper on emergent biases in medical LLM agents and quantifying demographic parity gaps across 214+ clinical scenarios. Mark has shipped production-focused automation for large open-source projects, notably creating PerfSavvy for Adoptium that cut nightly test runtimes and saved weekly machine hours, and contributing clarity and robustness to the .NET SDK CLI. His work spans scalable performance testing, data quality improvements, and automated MedQA evaluation pipelines, with a practical knack for replacing manual workflows with statistical and AI-driven solutions. Actively seeking SWE or Data Science internships, he’s drawn to high-ownership roles that blend systems design, AI safety, and human-AI interaction. An often-overlooked strength is his ability to translate research findings into operational metrics and dashboards that directly improve engineering and product decisions.
code5 years of coding experience
job1 year of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Los Angeles
languagesChinese, English
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Github Skills (8)

net10
asp-net10
dotnet10
sdk10
csharp10
dotnet-core10
cli10
testing9

Programming languages (5)

TypeScriptC#JavaSCSSSwift

Github contributions (5)

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dotnet/sdk

Sep 2023 - Aug 2024

Core functionality needed to create .NET Core projects, that is shared between Visual Studio and CLI
Role in this project:
userBack-end Developer
Contributions:26 reviews, 5 PRs, 55 comments in 11 months
Contributions summary:Mark primarily focused on modifying the .NET SDK, specifically addressing mistyping errors and improving the user experience. They made changes to the CLI's program, exception handling, and test cases to provide clearer error messages. Furthermore, the user worked on verbosity options within the tool install command, ensuring the correct display of success messages based on the specified verbosity level. Finally the user worked on the tool update command to install and update tools.
clidotnetsdknet-corec-sharp
Contributions:7 pushes, 1 branch in 2 years 6 months
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Mark Li - Software Engineer at Databricks