Trevor Tan.Get in touch
IT ENGINEERING · GENAI · LLMs

Building practical AI systemsand the infrastructure behind them.

I'm an IT Engineer exploring the intersection of generative AI, cloud infrastructure, data engineering, and automation. I enjoy turning complex technical challenges into useful, dependable systems.

Python & AI Cloud & Linux Data platforms
about.py

class Engineer:

focus = [

"Generative AI",

"LLM applications",

"Cloud infrastructure",

"Automation"

]

def build(problem):

# Learn, experiment, deliver

return useful_solution

Curiosity-driven engineering● ready to build

01 / ABOUT

Technology is most useful when it solves real problems.

My background spans IT operations, Linux environments, deployment workflows, databases, and infrastructure. I'm expanding that foundation into generative AI and LLM engineering.

Here, I document what I build and learn: experiments with local models, AI application patterns, infrastructure projects, and practical lessons from troubleshooting real systems.

PythonLLMs & RAGAI agentsAzureLinuxDockerPostgreSQLGitHub Actions

02 / SELECTED WORK

Projects & experiments

A selection of areas I'm building in. Project details and repository links can be added as each project is ready to publish.

01

GENERATIVE AI

Local LLM Lab

Experiments with running language models locally, serving models, and connecting AI tools to practical workflows.

LLMsllama.cppOllama
02

DATA ENGINEERING

AIS Vessel Tracking

A vessel-tracking workflow for collecting AIS positions, storing trajectories in PostgreSQL, and exploring ship movements.

PythonPostgreSQLStreamlit
03

CLOUD / DEVOPS

Infrastructure & Automation

Linux services, virtual machines, containerized applications, deployment workflows, and reliable self-hosted systems.

LinuxAzureDocker

03 / NOTES FROM THE FIELD

Writing & technical notes

Practical write-ups, experiments, and lessons learned. These are starter article ideas; publish each post when its content is ready.

GENERATIVE AI

Building a practical local LLM environment

Notes on model serving, hardware constraints, and connecting local models to applications.

Article 01

DATA ENGINEERING

From AIS data to vessel trajectories

A look at collecting vessel positions and turning them into useful geospatial history.

Article 02

CLOUD & LINUX

Deploying a personal site with GitHub and Azure

A reproducible deployment workflow for a portfolio and technical blog.

Article 03

04 / CONTACT

Let's build something useful.

Interested in AI engineering, LLM applications, infrastructure, or sharing technical ideas? Find me on GitHub or get in touch.

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