Di Wu
PhD Candidate
Los Angeles, California, United States
Summary
🤩
RockstarDi Wu is a PhD student at UCLA and a research scientist intern with seven years of experience building ML systems for memory, retrieval-augmented generation, and AutoML. She has interned at Meta FAIR, Tencent Americas, AWS, and Microsoft, focusing on long-term memory, RAG, model compression and hyperparameter optimization. Her open-source contributions to Microsoft NNI improved HPO benchmarking and added tuner support and practical examples like a conditional GAN, showing a penchant for bridging research and production tooling. Based in Los Angeles, she combines deep academic training with hands-on engineering across industry research labs. Notably, she moves fluently between model-level innovations and ecosystem plumbing, fixing profilers and setup scripts as readily as tuning algorithms. This mix of rigorous research and pragmatic engineering lets her deliver reproducible ML solutions that scale from prototype to product.
7 years of coding experience
Github Skills (10)
pytorch10
deeplearning-ai10
deep-learning10
automl10
python10
nas9
neural-architecture-search9
machine-learning8
model-compression8
tensorflow8
Programming languages (4)
Github contributions (5)
microsoft/nni
May 2021 - Sep 2021
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Role in this project:
ML Engineer
ML EngineerContributions:88 reviews, 11 commits, 15 PRs in 3 months
Contributions summary:Di's contributions center on enhancing and benchmarking the HPO capabilities of the NNI toolkit, specifically concerning the performance of different tuners within the AutoML framework. Their work includes documenting benchmark functionalities, fixing setup scripts, and adding support for new tuners like DNGOTuner. Additionally, the user implemented fixes to the model profiler, addressing formatting issues, and contributed an example of a conditional GAN using PyTorch, with related example files.
pythonneural-architecture-searchengineeringtensorflowbayesian-optimization
xiaowu0162/low-resource-kpgen
Mar 2022 - May 2022
Contributions:24 commits, 13 pushes, 1 branch in 2 months
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