Why every personality test you've taken has failed you (and what actually works)
I've been obsessed with personality psychology for years. I've taken MBTI probably 15 times (different results each time, which tells you something). I've done Enneagram deep dives. I own actual Big Five assessment books.
After all of it, I kept running into the same problem: the results describe a type. They don't describe me.
Here's what I mean.
When MBTI tells you you're an INFJ, it gives you a description that applies to every INFJ who has ever lived. Your specific relationship with chaos, your particular brand of empathy, the exact way your shadow shows up in your life — none of that is in there. Can't be. It's a category, not a person.
The Enneagram is better at motivation but still pre-written. Big Five is the most scientifically valid but the feedback is almost uselessly abstract ("you scored 73rd percentile on Openness").
What would actually work is a test that:
Asks about real behaviour, not theoretical preferences
Weighs your specific answers against each other
Writes a result that has never been written before — because your combination of answers has never existed before
That's what AI makes possible. And that's what I built.
SoulPrint asks 10 questions about how you actually live. It scores your answers across 6 archetypes using a weighted algorithm. Then GPT-4 reads your exact answers and writes something specific to you — not to your "type."
The shadow section alone has made people stop mid-read.
NetworkAI — AI-Powered Campus Network Monitoring System
A real-time network monitoring dashboard designed to help campus IT teams observe network health, monitor interfaces, and identify potential issues from a single interface.
What I built
Real-time network monitoring with live interface and system status
Network interface analytics showing traffic and connection activity
Historical monitoring data for analyzing network behavior over time
Live WebSocket communication for continuously updated monitoring data
Network controls to start and stop monitoring directly from the dashboard
Interactive charts and visualizations for easier interpretation of
network metrics
Responsive dashboard UI designed for clear monitoring rather than unnecessary complexity
FastAPI backend providing REST APIs and WebSocket communication
React frontend with a modern monitoring-focused interface
Why I built it
The goal was to create a practical campus network monitoring system that demonstrates how real-time networking data can be collected, processed, and presented through a modern web interface.
Fatima Lane is a contemporary women’s fashion ecommerce experience designed around a clean, editorial visual style. The project focused on creating a premium shopping experience that feels simple, elegant and easy to navigate across the complete customer journey.
The Challenge
The goal was to create an online fashion store that could present products in a premium way without making the shopping experience complicated. The website needed clear product discovery, detailed product pages, wishlist and account functionality, while maintaining a consistent fashion-led visual identity.
The Solution
I designed and developed a responsive ecommerce experience with a strong focus on product presentation, navigation and usability. The interface combines editorial layouts with practical shopping functionality, including product collections, quick product access, product details, wishlist, customer account areas and order-related workflows.
Key Features
Product collections and new arrivals, detailed product pages, product variants, wishlist, cart flow, customer account area, order tracking, saved addresses, profile management, responsive layouts and structured footer/navigation.