Yixiao Fang

Shanghai, Shanghai, China

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Summary

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Rockstar

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Top School

Yixiao Fang is a data-driven ML engineer and urban planning-trained analyst with eight years of cross-disciplinary experience spanning self-supervised learning contributions to OpenMMLab and LLM evaluation integration for OpenCompass. Based in Shanghai, she has practical experience refactoring MAE and MoCoV3 configurations and adding SEED-Bench support to multimodal inference, showing strong facility with model implementation and dataset engineering in notable open-source projects. Her early career in urban planning, municipal finance and international organizations honed quantitative, GIS and stakeholder-communication skills that she leverages to translate complex technical work into actionable outcomes. Recognized as top 1% new talent at BOE and as a project lead securing a multimillion RMB contract, she combines rigorous analysis with project delivery and client-facing presentation. Quick to learn and team-oriented, Yixiao blends technical depth in ML tooling with a rare background in public administration and urban systems, enabling a systems-thinking approach to applied AI problems.

8 years of coding experience

Master’s Degree, Public Administration, Master’s Degree, Public Administration at Columbia University in the City of New York

Bachelor’s Degree, Public Administration, Bachelor’s Degree, Public Administration at Renmin University of China

Exchange Student, City/Urban, Community and Regional Planning, Exchange Student, City/Urban, Community and Regional Planning at University College Dublin

English, Chinese, French

Github Skills (14)

datasets10

configuration-management10

computer-vision10

pytorch10

machine-learning10

lm10

deep-learning10

self-supervised-learning10

large-language-models10

python10

evaluation10

data-integration10

data-set10

llm10

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

open-mmlab/mmselfsup

Dec 2021 - Jan 2023

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Role in this project:

ML Engineer

Contributions:14 releases, 405 reviews, 158 commits in 1 year 1 month

Contributions summary:Yixiao refactored and updated configuration files related to self-supervised learning in the OpenMMLab MMSelfSup project. Their commits involved changes to dataset configurations, loss functions, and model implementations, particularly for the MAE and MoCoV3 algorithms. These refactoring efforts demonstrate a strong understanding of the project's architecture and optimization techniques used in the self-supervised learning domain. They focused on enhancing the functionality of the existing project.

pytorchsupervised-learningbeitsimclrmae

open-compass/opencompass

Jul 2023 - Sep 2023

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Role in this project:

ML Engineer

Contributions:12 reviews, 6 PRs, 9 comments in 2 months

Contributions summary:Yixiao primarily focused on adding support for the SEED-Bench dataset within the OpenCompass LLM evaluation platform. This involved modifications to the `MiniGPT4Inferencer` model, specifically in the `opencompass/multimodal/models/minigpt_4/minigpt_4.py` file, and the implementation of a new dataset class `SEEDBenchDataset` within `opencompass/multimodal/datasets/seedbench.py`. The commits show that the user integrated the SEED-Bench data and made adjustments to model inference and loss calculations.

benchmarkchatgptevaluationlarge-language-modelllama2

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