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welcome to the crux!

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Hi! I'm Yen! A full-time veteran in backend/devops/platform/infrastructure software and data engineering with over 10+ years of experience from driving data solutions to productizing new software technologies to help organizations deliver core business values.

Currently, I'm a Lead Platform Engineerat Marsh McLennan driving the MMCtech's Enterprise Architecture organization, modernizing, evangelizing and automating the first Data in the Cloud platform to enable a centralized Delta Lake ecosystem in a distributed cloud computing fashion in AWS and Azure; including building and scaling infrastructure automation in IaC.

Amongst other interests and side projects as you'll see here; I'm also working to find time to polish some good content which I've yet published. It really narrows down to time management. Good content takes time, commitment and a lot of dedication to run this hub.

Besides that, I'm also working on a few other AI projects, yet to publish especially in the Generative AI and Robotics space. What has piqued my interest lately is all the commontion about Large Language Modeling (LLM).

I have a background in Applied Statistcs/Mathematics, therefore AI:Machine Learning (ML) is not foreign to me. it's literally pure math except we get to write code to do that.

personal principles I abide to

-> No, we don't know everything.

-> Don't be a jerk. Everyone has great ideas to bring to the table!

-> A huge fan of open source technologies.

-> A big believer that many things could be optimized! What's the fuss?

-> We should run all things in a cloud distributed fashion if we can in K8s!

-> Automating your infrastructure shouldn't be that difficult once we removed bureaucracy with autonomy! Many tech stack to leverage, pick one: Terraform/Ansible/Puppet/et al.

What else did I miss?

tech stack I worked in, not limited to

  • distributed cloud computing (aws/azure/gcp)
  • fastAPI
  • databricks
  • kubernetes
  • dockers
  • kafka
  • AI/ML (data science frameworks and features)
  • software optimization
  • apache airflow
  • CI/CD orchestration and methodogies (grafana, jenkins, github)
  • infra-as-code (terraform)
  • engineering best practices
  • process standardizations (agile, scrum, kanban)
  • traditional data warehousing implementations
  • source versioning tools (git, gitlab, bitbucket)

tech stuff I like to get acquainted to

A couple of tech stack that I'm currently exploring, and doing tutorial courses, and are vastly interested in gaining more exposure to are the ones here!

It's such a hype these days that if you want to become a really well-rounded software engineer, these are some of the languages that I've consistently see across the board in software engineering prerequisites or "must-haves."

If I'm not busy enough, :), don't be surprised if I'm dabbling on a different projects using these stuff!

  • Go
  • Scala
  • Node.js
  • Vercel

blog intentions

This blog is created with the following intentions

  • to hash out a few mind-boggling topics or challenges I stumbled upon
  • to help shed insights for other readers if they ever encounter the same issue
  • to help make other engineers' lives a bit easier if they faced same issue with some of my solutions or ideas, and potentially start from here!

In any case, I hope you've learned something along the way if you've hit this blog!

Drop me a note if you're seeking clarity, or like to explore a new topic with me!