The circe from qubitpi

To my dearest Mom and Grandma who teach me how to love this world with ❤️

I'd like to take this moment to thank Yahoo!, my former employeer, who taught me to love Software Engineering and how to write the best-quality software. 4 years of being her employee nourished my life philosophy that the end of Software Development in itself is not about money, but people, passion, and love. Thank you Yahoo!

This page is also dedicated to my mentor Rick Jensen, my life-long teacher on Software Engineering. Having been the best tech leader I've seen, he treats software design, programming, and code review as a work of art and loves Software Engineering by ❤️, which is why I will follow his philosophy and, with tremendous sincerity, respect him as my role model in tech world

I have a Bachelor's Degree of Engineering Physics (on Computational Quantum Mechanics) and a Master's Degree of Computer Science (on Big Data and Cloud Computing) both from University of Illinois at Urbana-Champaign. Since then, my career has been focusing on B2C Knowledge Graph applications, because it is a career that converges all of my consuming interests: Big Data Analytics, Natural Language Processing (NLP), and the curiosity of exploring complex systems

What I learned from 4 years of College Physics is an idea that the answer to questions around all complex systems always come down in the most straightforward and self-evident form. For example, Why can't we go back in time and change world history even with a time machine? Because we can't make 2 secods shorter than 1 second, which breaks the basic Physical principle of Simultaneity

What I found the most complicated system is human. Uncovering the simpliest and the most truthful nature deep in the mind of every complicated soul and heart is my strongest drive to explore this world of invisible subconciousness that can be most effectively revealed by the Data of Our Langauge - NLP technologies

I believe in the power of language. Inspring people to see the truth that inspires them by analyzing the language we use is why I get out of bed every day

Machine Learning

Immutble Infrastructure

Jersey Webservice

React

Contributor

Active Forks (having at least 1 PR merged within the last 5 days)

No Matter How Far I Go Beyond
I Shall Never Leave Behind Studying Technologies Everyday
Because She Made My Dream Possible

I'm interested in 4 topics of tech world:

NLP Machine Learning
Immutable Infrastructure DevOps
React-based Frontend Dev with little more focus on the UI design
No-Spring Webservice Dev

Inspired by large enterpeise hosting their own private mirrors of public Maven Central, I forked documentation source codes of all technoloteis I'm interested in and publish them to GitHub Pages, which result in the following curated list. By these forks under my account, I'm writing my tech blog with thousands of helping hands around the world. In addition, I could also add my own study notes on top of their documentations:

Machine Learning

Stanford CNN | Google JAX | Google Flax
ASR: CMU Sphinx
Reinforcement Learning: OpenAI RL
MLOps: MLflow | Metaflow | MLReef
Hugging Face: Tokenizers Node/Python API
Tools: Jupyter | Jupyter Docs | Jupyter Notebook | scikit-learn | pandas | numpy | GQL | State of AI Reports
Python: The Hitchhiker’s Guide to Python | PEP's | conda
Knowledge Graph: Knowledge Graphs | Data Visualization | NetworkX | NetworkX Guides | Memgraph NextworkX Guide | react-force-graph | spaCy | Stanford SNAP | TextGrapher
- Knowledge Graph Embedding (KGE) AmpliGraph | Knowledge Graph Embeddings Tutorial: From Theory to Practice
- Tools vs | Wikipedia Graph Canvas | Wikipedia Graph Search
LLM
- Llama: llama.cpp | Llama on Android/iPhone
- Chinese LLM: Chinese-Mixtral | Llama2-Chinese | Chinese-LLaMA-Alpaca-2
- 浙江大学 LLM 生态体系: KnowLM | DeepKE | NeuralKG | OpenUE | EasyInstruct | EasyEdit
- LLM Reasoning: world models | LangChain

DevOps

Packer | Terraform | Terraform CDK | Consul | Vault | Packer Plugin Scaffolding | Terraform Provider Scaffolding

Blogs

Guide | Docker Compose | Custome Forks for Personal Usage

Nova | Install Guide | Doc Contrib Guide | Virtual Machine Image Guide | API Quick Start Guide | Glossary | Swift | python-swiftclient
| Elastic Stack | Elasticsearch | Kibana | Logstash | Beats
Docker | CNCF Distribution
Sentry Documentation | Sentry Developer Documentation
Upptime | Docker Mailserver | LinuxServer.io | LinuxServer Documentations
- Start VM from command line
```
VBoxManage startvm <vm_name> --type headless
```
- Stop virtual machine
```
VBoxManage controlvm <vm_name> poweroff
```
- SSH into a virtual machine
  1. To open guest machine network settings to make sure it's attached to NAT
  2. Then go to Advanced -> Port Forwarding and add these settings:
    - The IP fields can be left empty.
    - Name: ssh (or whatever you like)
    - Protocol: TCP
    - Host Port: 2222 (or any other port you like)
    - Gust port: 22
  3. Reboot host machine and ssh by ssh -p 2222 virtualbox-user-name@localhost

Frontend

I have a backend-dev origin, but the reason I love frontend-dev, from a technical perspective, is, while not always the case in backend-dev, frontend-dev appears to be a world of functional programming, which I like a lot (subconcisously)

UI Design Component-Driven UI Development | tailwindcss
React styled-components | react-bootstrap | react-icons | yarn | Monorepo | TypeScript | React + TypeScript Cheatsheet| Babel | Jest | testing-library | Cypress | Argos | Prettier | typescript-eslint | TypeDoc | ExpressJS | Redux | React Redux | Redux Toolkit | redux-observable | RxJS | InversifyJS | GraphQL Relay | Immer | Lexical | i18next | react-i18next
Knowledge Graph Memgraph Orb | three.js | D3-graph-gallery

Frontend | Platform 9¾ | Backend

Note

In my architectural view, not only do BE & FE not couple with each other, but also they do not even KNOW the existence of each other. They sit in two different universes. The two universes are completely disjoint and nothing that happens in any one of them is causally linked to what happens in any other one. They are only aware of a "boundary" defined by GraphQL or, if not possible, OpenAPI