As a forward deployed software engineer at Palantir, I work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. This means leading the way in developing a solution, from high-level system design and prototyping, to application development and data integration. I'm experienced working across different frontend and backend frameworks, machine learning libraries, storage systems, cloud infrastructure and CI/CD tools.
The University of Adelaide
Woodside Energy
Imperial College London
Yonder
Palantir Technologies
Languages
Frontend
Backend
Tools
LocationBuddy is a web app built to help you quickly check the commute time of your potential home to the places you frequently visit, such as work, school or your favourite weekend brunch spot.
GreenHouse shows Energy Performance Certificate (EPC) data on individual houses, statistics on the efficiency of nearby households, and supports crowd-sourced data collection for improving recommendations.
Juno is an electronic health record system for managing IVF treatment. It enables clinicians to track patients IVF cycles, and is integrated with machine learning to make predictions that aid clinical decision making.
Interview Buddy is a site built to help with behavioural interview practice. It pulls questions from a CMS, and gives the user a set amount of time to prepare and record a response with their webcam.
An iOS application for passengers on public transport that want to sleep without the risk of missing their stop. It uses GPS data to predict their time of arrival and calls them within a set time window to wake them.
SkinGenie is a skincare recommendation powered by the large language model (LLM) GPT-3.5. User inputs are sent to the LLM to make product and routine recommendations, which are then enriched with pricing and images for ease of use.