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ceshine/README.md

Hi there 👋

I am an independent machine learning practitioner providing remote consulting services to organizations globally. I have helped clients build in-house document understanding systems processing tens of thousands of requests daily (facilitating over a million USD in weekly transactions), end-to-end product recommendation engines for e-commerce, and data pipelines for both real-time monitoring and offline curation. I specialize in technical leadership for fully remote AI/ML teams, but also have people management experience from previous roles.

I am currently on sabbatical to explore new technologies, resume my public technical writing, contribute to open source, and recharge. Nonetheless, feel free to reach out via email or Twitter/X if you have interesting projects to discuss.

I am a Kaggle Competitions Master with a peak global rank of 63. While I have not participated as frequently in recent years due to other obligations, a list of my viable competition solutions published on GitHub can be found here.

My core tech stack includes Python, Polars, PyTorch, PyTorch Lightning, FastAPI, and Pydantic. I am currently expanding into Rust and PyO3 to build high-performance Python extensions. I also use React to build front-ends for personal projects. While I have past experience with R and Julia, I am not actively using them at the moment.

Ceshine's GitHub stats

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  1. veritable-tech/pytorch-lightning-spells veritable-tech/pytorch-lightning-spells Public

    Some useful plugins for pytorch-lightning

    Python 9 2

  2. textrank_demo textrank_demo Public

    A simple website demonstrating TextRank's extractive summarization capability.

    HTML 55 13

  3. favorita_sales_forecasting favorita_sales_forecasting Public

    Solution to Corporación Favorita Grocery Sales Forecasting Competition

    Python 29 12

  4. yt8m-2019 yt8m-2019 Public

    7th place solution to The 3rd YouTube-8M Video Understanding Challenge

    Python 37 12

  5. pytorch_style_transfer_l2_wasserstein pytorch_style_transfer_l2_wasserstein Public

    PyTorch Implementatino of Style Transfer as Optimal Transport

    Python 6 5

  6. fast-neural-style fast-neural-style Public

    Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution

    Jupyter Notebook 164 34