Mengjing X
Software Engineer at Oracle
Ann Arbor, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolMengjing X is a software engineer with eight years of experience blending research-driven development and production engineering, currently contributing to Oracle from Ann Arbor. She has a strong academic foundation from the University of Michigan and Shanghai Jiao Tong University and has translated that into practical systems: building data ingestion pipelines for battery cycler telemetry, designing InfluxDB schemas and UIs, and developing language tooling in a live functional programming environment. Comfortable with Python, data engineering, and type-driven design, she moves between low-level binary parsing and higher-level user-facing interfaces. Her background mentoring students and refining educational tooling signals a knack for explaining complexity and shaping developer workflows. Notably, she has delivered systems that make large, messy scientific datasets queryable and interpretable for research teams.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of MichiganUM-SJTU Joint Institute, Shanghai Jiao Tong UniversityBachelor of Science - BS Electrical and Computer Engineering, Bachelor of Science - BS Electrical and Computer Engineering at Shanghai Jiao Tong University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (40)
paddle10
audio-processing10
editor10
elm10
reasonml10
ocaml10
data-processing10
image-augmentation10
functional-programming10
data-augmentation10
image-processing9
pytorch9
python9
checkpointing9
gpu9
Programming languages (4)
Github contributions (5)
annie-anna/dlio_benchmark
May 2025 - May 2025
An I/O benchmark for deep Learning applications
Contributions:5 pushes in 13 days
annie-anna/DALI
May 2025 - May 2025
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Contributions:4 pushes in 5 days
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