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followers: 67.0 following: 169.0 repos: 223.0 gists: 9.0

Name: Baichuan Sun

Type: User

Company: Amazon Web Services

Bio: Senior Applied Scientist at AWS AI/ML

Location: Melbourne, Australia

Blog: ml.aws

Baichuan Sun, Ph.D

🎒 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 🇨🇳, and obtained my PhD in Thermodynamics from NTU, Singapore 🇸🇬. In addition, I have been research student at Tohoku University, Japan 🇯🇵, and participated in a summer school program at Wolfram Research in the US 🇺🇸. After completing a Postdoctoral Fellowship in Computational Nano Physics and Chemistry at CSIRO, Australia 🇦🇺, 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:

📷 Robotics Computer Vision
📈 Time Series Forecasting
🔍 Automatic Financial Audit via OCR
🛒 Product Recommendation System
💵 Price Optimisation
🛩️ Predictive Maintenance
💊 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.

🏆 Trophy

🎛️ ️Stats

📡 SNS

Baichuan Sun's Projects

docker-curriculum

:dolphin: A comprehensive tutorial on getting started with Docker!

dotfiles

~/.dotfiles

dtnn

Deep Tensor Neural Network

dtreeviz

A python library for decision tree visualization and model interpretation.

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

eigenfaces

Mathematica notebook and resources for the post "Eigenfaces"

ensemble_amazon

Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition

fastai

The fastai deep learning library

fastai-v3-projects

Experiments for fast.ai V3 course.

fastai2coreml

fastai --> onnx --> coreml example

fastai_autoencoder

featuretools

automated feature engineering

few

a feature engineering wrapper for sklearn

finetuning-and-deploying-llama-on-sagemaker

Use the two different methods (deepspeed and SageMaker model parallelism library) to fine tune llama model on Sagemaker. Then deploy the fine tuned llama on Sagemaker with server side batch.

flask-lambda

Python 3.6+ module to make Flask compatible with AWS Lambda

flask-ml-api

A Flask API to deploy machine learning models

flask-on-docker

flaskexercies

free-programming-books-zh_cn

免费的计算机编程类中文书籍，欢迎投稿

gai-bootcamp

L300 Generative Bootcamp labs

game-theory-and-python

Game Theory and Python

gasmodel

"Simulation of a Simple Gas Pressure Model" in 3D

gcmc_first

Grand Canonical Monte Carlo of Lennard-Jones Fluid Properties

gekko

A bitcoin trading bot written in node - https://gekko.wizb.it/

gitignore

A collection of useful .gitignore templates

gluon-ocr

A OCR project for text detection and recognition using MXNet

googleanalyticsprophetr

Applying Facebook's prophet on Google Analytics data

gpflappybird

Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform