The idea
Many small spiritual businesses juggle bookings, content, products, client notes, email, social posts, and payments across too many tools. This project explores what a user-friendly all in one workspace could look like.
Project shelf
Welcome to my projects page
I always have something going on in my portfolio, from AI experiments to data projects to SaaS product designs. Here are a couple of the most recent ones, and more are on the way!
Featured Project 01
Spiritual Business OS SaaS
A product design and architecture project for a friendly operating system style platform for spiritual creators and service providers.
- Product planning
- SaaS architecture
- Database design
- AI workflows
- Stripe subscriptions
What I designed
- Multi tenant SaaS structure
- Client and booking workflow
- CMS and ecommerce sections
- Subscription billing flow
- AI content assistant concepts
- Analytics and admin dashboard
| Portfolio skill | How this project shows it |
|---|---|
| Systems analysis | Breaks a large business idea into user stories, workflows, acceptance criteria, and MVP scope. |
| Data modeling | Defines tenants, users, roles, products, orders, bookings, clients, content, payments, and analytics entities. |
| AI product thinking | Adds AI where it supports the workflow instead of making AI the whole personality of the app. |
| Cloud readiness | Includes Docker, Hostinger VPS deployment planning, security, and scaling considerations. |
Featured Project 02
AI Assisted ITC Research Lab
A Python research lab project that turns video feedback loop experiments into a structured data, computer vision, and analysis workflow. ITC stands for Instrumental Transcommunication, a type of experiment in which you use a video recorder to create a feedback loop that some people believe can capture paranormal phenomena.
- Python
- OpenCV
- Frame extraction
- Anomaly tagging
- Research dashboard
The idea
Instead of treating ITC footage as a pile of random recordings, this project treats it like a research dataset: frames, metadata, labels, notes, timestamps, and repeatable analysis steps.
What I’m building
- Video upload and frame extraction
- Frame by frame review workflow
- Metadata logging
- Possible anomaly detection experiments
- Manual tagging for human review
- Dashboard for notes and findings
Why it stands out
It is unusual, memorable, and technical enough to show Python, computer vision, data handling, and experimental thinking.
What it proves
I can turn a niche idea into a structured portfolio project with a reproducible process.
Next step
Add a repo, sample video, frame viewer, charts, and a written experiment log.
Coming soon
Future project: TBD
I'll be adding more projects here as I build them, including a mix of data science, AI, and product design work. Stay tuned for updates!