🌱 I’m currently working on solving health and fintech problems - Building TheaAI, Product Monetization Lead at Cleo AI
🤖 I’m currently using applied AI in fintech and health, particularly building end-to-end applications for iOS (Swift)
🤔 Interested in health, longevity, and fintech. Passionate about optimising health — both actual and financial!
Thea is a personalized wellness companion who offers actionable health recommendations visually, through chat, and on a home screen widget. We want to simplify everyday health decisions for people not obsessed with optimizing health outcomes.
This is an end to end project and I have been leading product, engineering, design, and marketing for TheaAI. I have built health models using Apple HealthKit to construct dynamic LLM prompts which are used to power the Swift app (Thea - the primary avatar, chat, and widget). I have implemented NLP / LLM concepts such as retrieval augmentation from Scratch in Swift, instead of using a framework like LangChain.
App Store Thea currently has 400 waitlist subscribers and 50 downloads
I came up with the idea for a spending widget, and organised a small team to build it.
I built the widget in SwiftUI and worked with the other engineer to build a react-native bridge in order to fetch the data to populate the widget. We completed the full project (including widget design and implementation) in under a week.
I have trained several models to predict the likelihood of breast cancer when presented with industry specific inputs.
First, I explored the dataset in Google Colab, and then trained multiple models using the publicly available UCI Mammographic Mass Dataset
Next, I used Streamlit to create an interactive web-app which you can try out HERE
I used the following languages and frameworks:
