CircuitWall Consultancy

Expertise. Innovation. Success



About Me

My name is Andrew Wu, lives and works in Stockholm Sweden.

I am a Big data and Machine learning engineer with ten years plus experiences. My knowledge including (but not limited to):

  • General application development
  • Big data & Machine learning
  • Cloud technologies (public and private)

Contact me if you need a hand or advices, and you are welcome to add me to your Linkedin contact.


Big data & Machine learning

Technologies supporting big data and machine learning like hadoop are more than 10 years old. If you think big data is a buzz word, then you are falling behind.

Big data and machine learning is about three things in my mind:

  • Ability to fetch and store large number of data.
  • Ability to analyze big data efficiently.
  • Ability to use the data and empower your business.

Key competences and Technologies

  • Big data
    • Apache Storm, Flink, Spark
    • Apache and Confluent Kafka
    • Cassandra, Riak databases
  • Machine Learning
    • Python, Tensorflow, Keras, Scikit
    • Evolution Algorithm
    • Realtime recommender system
    • Deep learning

Cloud technologie

Alright, “Cloud” is a real buzz word. Some people understand is the cloud drive, on-demand virtual machines, or the stuff floating on the sky… I say cloud is all those combined with out the floating stuff of course.

Key competences and Technologies

  • AWS EC2 & VPC
  • Cloudfoundry

General Application Development

Ten years plus of professional experience taught me how to build maintainable service with performance. I deliver any part of a service, mainly focused at backend.

Key competences and Technologies

  • Java SE/EE Spring, Springboot (10 years)
  • Python 3 (2 years)
  • Golang (2 years)
  • Javascript, CSS
  • REST API
  • MySQL, MongoDB, Riak

Articles:


The multi-datacenter topic come up usually because of two reasons: Your business now expanded into another part of the world. You need reliability more than pure performance (to some degree). I will skip the single DC setup here, as you can read upon in basically any kafka introduction documents. When comes to multi-datacenter setup there are, in my opinion, there are three major aspects during normal operations and when disaster strikes to consider: Read More…


As a consultant, it is hard to say “I don’t know”. With only very limited knowledge of Kafka, I started working as DevSecOps a few months ago on a large Kafka(confluent) installation for a bank. I am writing this from my own perspective on the key takeaways after working and tuning this multi-dc setup. There will be topics that you feel important that is not covered here, please let me know so I can improve this. Read More…