welcome to the crux!¶
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 Engineer
at 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!