Fiona Liu
Business Analyst at Amazon
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolFiona Liu is a business analyst and data-savvy consultant with eight years of experience blending finance, analytics, and product design across firms including Amazon, EY, and Jabil. With a Master’s in Business Analytics from Washington University and dual BS degrees in Accounting and Finance from UIUC, she has led product design, prototyping, and data-integration efforts for enterprise clients and biopharma platforms. Fiona pairs hands-on quantitative work—building statistical models, consolidating 200+ financial statements, and improving forecasting—with practical UX and product management skills from leading end-to-end implementations. She also contributes to open-source ML infrastructure (notably performance and memory work in the Apache TVM stack and optimizations for the HyperPose pose-estimation library), signaling a rare combination of finance domain expertise and low-level ML/DevOps proficiency. Fluent in Mandarin and English with basic German, she brings cross-cultural communication and leadership honed through student consulting and nonprofit engagements.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Business Analytics, Master's degree, Business Analytics at Washington University in St. Louis - Olin Business SchoolBachelor of Science - BS, Accounting and Finance, 3.77/4.00, Bachelor of Science - BS, Accounting and Finance, 3.77/4.00 at University of Illinois at Urbana-Champaign - College of Business
English, Chinese, German
Github Skills (24)
c-language10
python10
tensorrt10
machine-learning10
deeplearning-ai10
compiler-compiler10
deep-learning10
pose-estimation10
compiler10
cprogramming-language10
performance-monitor9
gpu9
performance-analysis9
computer-vision9
shell8
Programming languages (13)
Github contributions (5)
tensorlayer/HyperPose
Feb 2020 - Aug 2021
Library for Fast and Flexible Human Pose Estimation
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:5 releases, 21 reviews, 228 commits in 1 year 6 months
Contributions summary:Fiona primarily updated and modified dependency code across multiple files, including C++ source, shell scripts, and configuration files related to the HyperPose library. Contributions included fixing inference bugs in the examples, updating dependency requirements for inference and documentation, and resolving a semicolon issue. Additionally, the user improved the performance of the PAF processing and updated benchmark results.
flexiblehuman-posetensorlayerdeep-learningcomputer-vision
apache/tvm
Jun 2021 - Nov 2022
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:55 reviews, 23 commits, 33 PRs in 1 year 5 months
Contributions summary:Fiona contributed to the TVM compiler stack, primarily focusing on improving runtime performance and resolving potential issues. Their work involved memory management optimization within the VM, specifically addressing out-of-memory scenarios in the PooledAllocator. Additionally, they implemented bug fixes related to CuDNN integration, improving the robustness of the DefuseOps pass and enhancing the handling of signed/unsigned integer casts in the TIR. Their contributions also touched upon executor usage in tutorials and Onnx and PyTorch converter fixes, showcasing expertise in deep learning compiler design and optimization.
metalvulkancompilertensoropencl
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