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Hi there 👋

About Me:

I am a Machine Learning Engineer, Data Scientist, Android and Wear OS by Google Developer

  • excited about advances in eHealth, mobileHealth, personalised medicine
  • interested in distributed ML and computation, mobile and cloud computing, federated ML
  • championed GenAI and Agentic Workflows for research and data analytics

OSS Contributions:

  • Creator of ApplyLLM PyPI python package to help apply LLMs in local CUDA environment fast (Feburary 2024)

Talks:

Yingding Wang's Projects

ab-testing-in-ml icon ab-testing-in-ml

Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.

ai-everyday icon ai-everyday

code examples for ML and AI techniques which can be used in combined and sophisticated manner

airflow icon airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

alexa-cookbook icon alexa-cookbook

A series of sample code projects to be used for educational purposes during Alexa hackathons and workshops, and as a reference for tutorials and blog posts.

androiddevchallenge icon androiddevchallenge

#AndroidDevChallenge 2019 : Instant Stress Detection through Estimation of Heart Rate Variability using Wear OS Smartwatches

androidmlflow icon androidmlflow

An android machine learning pipeline framework to support developers building transfer learning pipeline on android and wear os by google devices with ease.

applyllm icon applyllm

A python package for applying LLM with LangChain and Hugging Face on local CUDA/MPS host

argus-tgs-salt icon argus-tgs-salt

Kaggle | 14th place solution for TGS Salt Identification Challenge

autocentering icon autocentering

this repo demonstrates the bug of wear compose autoCentering

basic-python icon basic-python

this repository contains some code example to solve basic algorithm with python for practicing the syntax

bloom icon bloom

Data set for Bloom training

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