Hongdao Meng
Software Engineer Intern @TikTok
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WORK HISTORY
Software Engineer Intern @TikTok
Seattle, WA, US
Developed a Python-based DAG-DSL migration toolkit (leveraging Protobuf and regex) to auto-convert legacy configuration files of the Bytedance Feature Service (BFS), a scalable feature extraction service powering TikTok’s recommendation system, into standardized DSL definitions, boosting operator migration throughput by 85%.Designed and implemented a Blade-based C++ operator migration pipeline for BFS, streamlining the workflow to improve operator migration speed by 83.3%, and personally migrated 20 operators.Architected and developed a one-stop workflow for User Data Accessor — a data extraction service for recommendation engine — covering service build, auto generate python operators, DSL compilation, and RPC request, enabling collaboration among dozens of engineers and accelerating development by 73.3%.Engineered a C++ debug framework for the DAG-based Service Engine, leveraging gflags to control on-demand logging of each node’s execution details within topologically ordered DAG subgraphs.
EDUCATION
New York University
Master of Science - MS, Computer Science
Beijing University of Technology
Bachelor's degree, Computer Science
ABOUT HONGDAO MENG
Hi, I’m Hongdao Meng — a CS master’s student at NYU with a strong focus on large-scale…
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