Where curiosity meets code, and meaningful ideas become thoughtful products.

Building thoughtful digital products powered by AI, data, and purpose.

Hi! I'm Aamina, a Data Science graduate who enjoys turning ideas, data, and technology into things that people can actually use.

I'm particularly interested in the space where Data Analytics, AI, and Software Engineering come together.

I enjoy:

• Finding stories hidden inside data
• Exploring practical applications of AI
• Building projects from an idea to a working product
• Thinking about how technology can be made simpler and more intuitive
• Learning something new whenever I can

I believe good technology isn't just about how sophisticated it is.

It's about how useful, understandable, and meaningful it can be to the people using it.

Making thyroid health information easier to understand.

TIA started as an AI project and gradually evolved into a more complete healthcare-focused application.

The idea behind TIA is simple: health reports shouldn't feel like a wall of confusing numbers and medical terminology.

TIA combines OCR, AI/LLMs, backend engineering, data analysis, and thoughtful product design to help users understand their thyroid-related health information, identify trends over time, and make sense of their reports in a more accessible way.

TIA brings together several areas of development:

AI & Data Processing

• OCR-based medical report extraction
• LLM-powered interpretation
• Structured data extraction and validation
• Health trend and pattern analysis
• Rule-based risk and red-flag detection

Backend

• Python
• FastAPI
• Pydantic
• Supabase
• Modular service architecture
• API-based processing pipeline

Frontend

• React
• TypeScript
• Modern component-based UI
• Patient-focused product design

AI Stack

• OCR
• Gemini
• LLM-based analysis
• Prompt engineering

                    ┌─────────────────────┐
                    │      TIA User       │
                    └──────────┬──────────┘
                               │
                               ▼
                    ┌─────────────────────┐
                    │  React + TypeScript │
                    │      Frontend       │
                    └──────────┬──────────┘
                               │
                               ▼
                    ┌─────────────────────┐
                    │       FastAPI       │
                    │       Backend       │
                    └──────────┬──────────┘
                               │
                ┌──────────────┼──────────────┐
                ▼              ▼              ▼
        ┌────────────┐  ┌────────────┐  ┌────────────┐
        │    OCR     │  │    LLM     │  │  Analysis  │
        │ Extraction │  │ Processing │  │   Engine   │
        └─────┬──────┘  └─────┬──────┘  └─────┬──────┘
              │               │               │
              └───────────────┼───────────────┘
                              ▼
                    ┌─────────────────────┐
                    │  Structured Health  │
                    │      Insights       │
                    └──────────┬──────────┘
                               │
                               ▼
                    ┌─────────────────────┐
                    │   Patient-Friendly  │
                    │      Experience     │
                    └─────────────────────┘

TIA is more than an AI experiment.

It is an exploration of how AI, data, and software engineering can come together to solve a real-world problem.

Through TIA, I've had the opportunity to work across the entire journey:

OCR → Data Extraction → Validation → AI → Analysis → APIs → Database → UI → Product Design

More importantly, the project has taught me that building healthcare technology isn't only about making models smarter.

It's about creating experiences that are clearer, safer, more intuitive, and easier to understand.

🌐 Live Demo: Coming Soon

Turning complex thyroid health data into something easier to understand.

What's Next

TIA is an ongoing project, with future development focused on improving AI accuracy, expanding patient and doctor workflows, strengthening health-data tracking, and making the experience even more accessible.

TIA is being built around a simple idea: healthcare technology should not make people feel more confused about their health.

I'm continuously experimenting with projects across:

Data Analytics · AI · Healthcare · Machine Learning · Product Development

More projects coming soon...

Currently learning, building, and experimenting with:

• Product Engineering
• Practical AI & LLM Applications
• Cloud & Deployment
• Backend Systems
• Human-Centered Design
• Data Storytelling

Python · SQL · Java · R · C

Pandas · NumPy · Scikit-learn · OpenCV · Power BI · Tableau

FastAPI · Supabase · PostgreSQL · MySQL

React · TypeScript · Figma · Framer

Git · GitHub · VS Code · Jupyter · Google Colab

When I'm not working with data or building something, you'll probably find me:

🧶 Crocheting & creating DIY projects
📸 Taking photographs
🍳 Experimenting in the kitchen
🐈 Spending time with cats
🎬 Watching K-dramas & Disney
🎵 Listening to music

Creativity doesn't stop at coding—it's something I bring into every hobby, every project, and every new idea I explore.

If something here sparked your curiosity, I'd love to connect.