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About Me

đź’» Hi, I'm Dave

I am an international student studying in Canada, majoring in Computer Science. I hope to get to know you and share some of the things I love doing that might help you in the future. What started as curiosity about how websites work has evolved into a journey through data pipelines, infrastructure automation, and AI experiments.

🎯 My Story

Everything started when I began studying for the CompTIA A+ Core 1 exam. At that point, I had never seen a CPU in real life. At the beginning of my semesters, I was loaded with lots of expectations—learning what a motherboard is, how many pins a power supply has, what a SATA cable is, and even what an ATX form factor means.

I decided to buy a used computer on Amazon to learn hands-on. Fast forward to now, I have my own cluster with 4 separate nodes featuring full high availability and quarterly backups on AWS. With primary DNS, DHCP, file server, and code server running at 99% uptime, it’s been quite a journey. I’ve learned a lot, and I want to help you enjoy this journey at least in some way.

Don’t worry—starting with an old 10-year-old Linux machine is probably enough for 99% of tasks.

What I'm Passionate About

For me, I love learning new things—not to brag but to understand how things work. In the worst-case scenario, like a full-blown apocalypse, I want to know how to build and fix stuff.

Outside of Tech

I love art, even though I can’t draw. I admire how powerful it is at capturing everything on the canvas. In addition, I love music because it’s a universal language that doesn’t require speaking a single word—something truly remarkable.

🛠️ What I Work With

I primarily work with Bash and infrastructure as code, and I use Python for machine learning and AI. I can write some R code, but I don’t consider it my strong suit.

Currently Learning:

  • Excel — In my opinion, it’s one of the most underrated tools. Even as a programmer proficient in writing code, I often find myself collaborating with coworkers who rely on Excel. Having a common ground is essential.
  • Math and Statistics — Essential for advanced learning and understanding data deeply.
  • Cloud platforms — Amazon Web Services (AWS) and Microsoft Azure.

Comfortable With:

  • Jupyter Notebook for interactive coding and experiments
  • Docker for containerization and deployment
  • Ollama for local large language models
  • Linux for server and desktop environments
  • Ansible and Terraform for infrastructure automation and management
  • Machine Learning and Deep Learning frameworks and workflows

Have Played Around With:

  • Kubernetes
  • GitOps workflows
  • Various scripting languages like PowerShell and Perl

🧠 My Learning Philosophy

I prefer to understand why something is done rather than just how, because two people solving the same problem—like a senior developer versus an intern—may do it very differently. Knowing these differences tells a lot about a person’s approach and experience.

🤝 Let's Connect

I'm always interested in having conversations about:

  • Infrastructure automation and DevOps
  • Machine learning and AI experiments
  • Open-source projects and best practices
  • Cloud computing and scalable systems
  • Anything tech-related or just sharing personal learning journeys

Feel free to reach out if you want to chat about technology, share experiences, or just say hi!

Get in Touch