02 / Projects

Selected projects.

A collection of projects that show how I approach unfamiliar systems, practical constraints, and measurable outcomes.

Infrastructure / 01

Aug 2026 - Present

Production-minded homelab platform

A self-hosted platform built to learn infrastructure the way it is operated in practice: documented, monitored, backed up, and improved in phases.

ProxmoxDebianDocker ComposeZFSPrometheusGrafana
View repository
Context

Turn repurposed hardware into a reliable environment for storage, applications, remote access, monitoring, and hands-on DevOps work.

What I built

Designed a Proxmox environment with a ZFS mirror, isolated service workloads, Docker Compose stacks, Tailscale access, Nextcloud, Uptime Kuma, and a Prometheus/Grafana monitoring layer.

Result

Created a stable base for secure ingress, infrastructure automation, CI/CD, and orchestration while practicing recovery and observability from the beginning.

Additional projects

Earlier builds and research.

01
Full-stack applicationMay 2024 - Aug 2024

Inventory management system (COMP 3340)

A team-built PHP and MySQL site with role-based warehouse workflows, barcode tracking, FIFO handling, bin assignment, prepared SQL statements, and order processing.

PHPMySQLJavaScript
Repository
02
Team software projectApr 2025

Java3D game

Modular OOP architecture for rendering, input, sound, and collision, plus profiling work that reduced duplicate loading and cut startup time by roughly 50%.

JavaJava3DGit
Repository
03
Desktop applicationFeb 2023 - Jun 2023

Belize driver's-license application

A Tkinter desktop interface simulating a learner's-permit application and storing submitted information in MySQL.

PythonTkinterMySQL
Repository
04
Internet of ThingsFeb 2023 - Jun 2023

Home-automation system

Home Assistant on a Raspberry Pi with Pico W and ESP8266 sensor nodes, motion-driven automations, alerts, and NFC-triggered room controls.

Home AssistantRaspberry PiESP8266
05
Research workflowMay 2023 - Aug 2023

Large-scale text analysis

Linux-based Python environments supporting NLP and topic-modeling research with PySpark, Spark NLP, TF-IDF, and LDA.

LinuxPySparkSpark NLP