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GenAI Learning + R&D
:octocat:
GenAI Learning + R&D
  • Amazon Web Services
  • Melbourne, Australia

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@aws-samples

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sunbc0120/README.md

Baichuan Sun, Ph.D

๐ŸŽ’ Biography

With a diverse background spanning STEM, I bring a unique blend of knowledge and experiences to the table. I hold a Bachelor's degree in Mechanical Engineering from China ๐Ÿ‡จ๐Ÿ‡ณ, and obtained my PhD in Thermodynamics from NTU, Singapore ๐Ÿ‡ธ๐Ÿ‡ฌ. In addition, I have been research student at Tohoku University, Japan ๐Ÿ‡ฏ๐Ÿ‡ต, and participated in a summer school program at Wolfram Research in the US ๐Ÿ‡บ๐Ÿ‡ธ. After completing a Postdoctoral Fellowship in Computational Nano Physics and Chemistry at CSIRO, Australia ๐Ÿ‡ฆ๐Ÿ‡บ, I transitioned from academia to the consulting industry, where I held roles at McKinsey&Company.

Currently, I serve as a Senior AI/ML Solutions Architect at AWS, where I leverage the power of cloud computing and data-driven methodologies. My role involves delivering strategic business solutions to clients across various industries. I have led challenging projects in diverse areas, including:

  • ๐Ÿ“ท Robotics Computer Vision
  • ๐Ÿ“ˆ Time Series Forecasting
  • ๐Ÿ” Automatic Financial Audit via OCR
  • ๐Ÿ›’ Product Recommendation System
  • ๐Ÿ’ต Price Optimisation
  • ๐Ÿ›ฉ๏ธ Predictive Maintenance
  • ๐Ÿ’Š Pharmaceutical Development

One of my passions lies in developing tools that democratize Data Science, enabling stakeholders without technical backgrounds to leverage their proprietary data assets and focus on adding business value.

๐Ÿ† Trophy

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๐ŸŽ›๏ธ ๏ธStats

Top Langs Baichuan's Github stats

๐Ÿ“ก SNS

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  1. awslabs/amazon-denseclus awslabs/amazon-denseclus Public

    Clustering for mixed-type data

    Jupyter Notebook 94 21

  2. aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve Public

    Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

    Jupyter Notebook 73 10

  3. aws-samples/amazon-sagemaker-endpoint-deployment-of-siamese-network-with-torchserve aws-samples/amazon-sagemaker-endpoint-deployment-of-siamese-network-with-torchserve Public

    Twin Neural Network Training with PyTorch and fast.ai and its Deployment with TorchServe on Amazon SageMaker

    Jupyter Notebook 12 4

  4. aws-samples/amazon-rekognition-custom-labels-feedback-solution aws-samples/amazon-rekognition-custom-labels-feedback-solution Public

    Model assisted dataset preparation for Amazon Rekognition Custom Labels.

    Jupyter Notebook 21 8

  5. Raiden Raiden Public

    Emulation of "Raiden" Game with Mathematica

    Mathematica

  6. aws-samples/streamlit-application-deployment-on-aws aws-samples/streamlit-application-deployment-on-aws Public

    Streamlit EDA Dashboard Powered by AWS Cloud

    Python 80 32