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Hi there!

🚀 About Me

🎓 I am Chang yong Lik, a Data Platform Engineer (specializing in Machine Learning Deployments and Constructing Data Platform).

📚 I enjoy reading books on finance and programming.

🔍 During my free time, I like building web apps and reading Machine Learning or tech related articles. Currently, learning on Kaggle and LeetCode to brush up on my coding skills to solve actual problems.

✈️ I love traveling and hiking too. I travel once a year overseas and have been on solo trips to England in 2018 and to Canada in 2020.

🌐 I currently reside in Tokyo, Japan🇯🇵 and have been in this country since Junior High School. Originally from Malaysia 🇲🇾.

💮 I speak English, Mandarin, Japanese and some Malay.

🛠️ Skills

Languages

javascript python Java Scala HTML5 Markdown GNU Bash

Frameworks

React NodeJS Docker Kubernetes SpringBoot

Big Data

Apache Hadoop Apache Spark Apache Hive Apache Kafka Apache Airflow

Machine Learning

TensorFlow Keras scikit-learn

NoSQL

firebase ApacheCassandra Redis

SQL

MySQL Teradata

Cloud

Azure Azure DevOps Azure Functions Databricks
AWS Amazon S3 AWS Amplify

Editor

Visual Studio Code Vim Jupyter Notebook IntelliJ IDEA Atom

🔗 Links

linked-in Kaggle

🕹️ Current Interests

  • Java
  • Go
  • Scala
  • Flutter
  • NextJS
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Tensorflow
  • PyTorch
  • Numerical Analysis
  • Data Structures and Algorithms
  • Building Progressive Web Apps
  • Hadoop
  • Spark
  • Kafka
  • Docker
  • Kubernetes
  • Ansible
  • ElasticSearch
  • OSS
  • LeetCode
  • Kaggle
  • AWS
  • Azure
  • Design Pattern
  • Microservice/Domain Driven Development
  • Finance/Business
  • Hiking/Traveling/Cycling

Chang Yong Lik's Projects

aas icon aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

abigsurvey icon abigsurvey

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

ai_curriculum icon ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

ai_tutorial icon ai_tutorial

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

aicommits icon aicommits

A CLI that writes your git commit messages for you with AI

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-go icon awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-multi-task-learning icon awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

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