Leveraging 4 years of Python backend development and Machine Learning/Deep Learning proficiency, I specialize in cloud architectures and serverless solutions on AWS/GCP. My AI experience includes a 1st-place win in a 2020 national AI contest with a 3 million NTD prize.
I am equipped with a comprehensive skill set crucial for crafting reliable and scalable backend services, including k8s, ELK, Grafana among others.
My objective is to create and provide services that are both dependable and efficient, contributing to the innovative advancement of technology solutions. As a self-taught software engineer, I am good at adapting new technology, and never being afraid to accept new challenges.
Jul 2013 - Jul 2015
National Chung Hsing University,
Bachelor's degree,Chemical Engineering
Jul 2009 - Jul 2013
AWS Certified Solution Architect - Associate
The AWS Certified Solutions Architect - Associate examination is
intended for individuals who perform a solutions architect role and have
one or more years of hands-on experience designing available, cost-
efficient, fault-tolerant, and scalable distributed systems on AWS.The AWS
Certified Solutions Architect - Associate examination is intended for
individuals who perform a solutions architect role and have one or more
years of hands-on experience designing available, cost-efficient, fault-
tolerant, and scalable distributed systems on AWS.
CERTIFICATE:
The most popular computer science class in Harvard. With this
certification means accomplishment of a semester training on programs,
including Data structure, Algorithm, and web development.
Familiarity in a number of languages, including C, Python, SQL, and
JavaScript plus CSS and HTML.
CERTIFICATE:
An AI learning organization funded by Andrew Ng, dedicating to train
professional AI workers to speed up & spread the ideas and knowledge
of AI.
Accomplishment of five specialization means good understanding of
deep learning fundamentals, capable to apply them, and build a career in
AI.
CERTIFICATE:
- Structuring Machine Learning Projects
- Neural Networks and Deep Learning
- Improving Deep Neural Networks - Hyperparameter tuning,
Regularization and Optimization
- Python
- ElasticSearch
- Kafka
- Grafana
- Django, Flask
- Git
- Gitlab CI
- Firestore/Firebase
- Nginx
- Gunicorn
- uwsgi
- Mysql&Sqlite
- Redis
- RabbitMQ
- Linux
Ability
- Build machine/deep learning model base on real-world problem
- Experience on NLP problem
- Integrate with api, AI model as services
- Self learning ability and motivation
Tools
- RF, XGboost, SVR,ect.
- Pandas
- Sklearn
- Matplotlib
- Seaborn
- Tensorflow&Keras
- Pytorch
- CNN
- RNN
- Jupyter Notebook
Ability
- Cloud-base server deployment
- Microservice insight
- Serverless design pattern
- HA(High Availability), failover design, load balance, ect.
- CI work flow
Tools
- AWS
- GCP
- K8s
- Kustomize
- Docker swarm
- Docker
- Git CI
- Airflow
- Jira
- Bitrix24
- Sentry
- Gitlab
- Swagger
- Apidoc
- Locust
Leveraging 4 years of Python backend development and Machine Learning/Deep Learning proficiency, I specialize in cloud architectures and serverless solutions on AWS/GCP. My AI experience includes a 1st-place win in a 2020 national AI contest with a 3 million NTD prize.
I am equipped with a comprehensive skill set crucial for crafting reliable and scalable backend services, including k8s, ELK, Grafana among others.
My objective is to create and provide services that are both dependable and efficient, contributing to the innovative advancement of technology solutions. As a self-taught software engineer, I am good at adapting new technology, and never being afraid to accept new challenges.
Jul 2013 - Jul 2015
National Chung Hsing University,
Bachelor's degree,Chemical Engineering
Jul 2009 - Jul 2013
AWS Certified Solution Architect - Associate
The AWS Certified Solutions Architect - Associate examination is
intended for individuals who perform a solutions architect role and have
one or more years of hands-on experience designing available, cost-
efficient, fault-tolerant, and scalable distributed systems on AWS.The AWS
Certified Solutions Architect - Associate examination is intended for
individuals who perform a solutions architect role and have one or more
years of hands-on experience designing available, cost-efficient, fault-
tolerant, and scalable distributed systems on AWS.
CERTIFICATE:
The most popular computer science class in Harvard. With this
certification means accomplishment of a semester training on programs,
including Data structure, Algorithm, and web development.
Familiarity in a number of languages, including C, Python, SQL, and
JavaScript plus CSS and HTML.
CERTIFICATE:
An AI learning organization funded by Andrew Ng, dedicating to train
professional AI workers to speed up & spread the ideas and knowledge
of AI.
Accomplishment of five specialization means good understanding of
deep learning fundamentals, capable to apply them, and build a career in
AI.
CERTIFICATE:
- Structuring Machine Learning Projects
- Neural Networks and Deep Learning
- Improving Deep Neural Networks - Hyperparameter tuning,
Regularization and Optimization
- Python
- ElasticSearch
- Kafka
- Grafana
- Django, Flask
- Git
- Gitlab CI
- Firestore/Firebase
- Nginx
- Gunicorn
- uwsgi
- Mysql&Sqlite
- Redis
- RabbitMQ
- Linux
Ability
- Build machine/deep learning model base on real-world problem
- Experience on NLP problem
- Integrate with api, AI model as services
- Self learning ability and motivation
Tools
- RF, XGboost, SVR,ect.
- Pandas
- Sklearn
- Matplotlib
- Seaborn
- Tensorflow&Keras
- Pytorch
- CNN
- RNN
- Jupyter Notebook
Ability
- Cloud-base server deployment
- Microservice insight
- Serverless design pattern
- HA(High Availability), failover design, load balance, ect.
- CI work flow
Tools
- AWS
- GCP
- K8s
- Kustomize
- Docker swarm
- Docker
- Git CI
- Airflow
- Jira
- Bitrix24
- Sentry
- Gitlab
- Swagger
- Apidoc
- Locust