Much of my technical growth has happened through project-based work.
Across university and internship projects, I worked on topics including:
- copy-paste augmentation and Mask R-CNN experimentation
- predictive modelling for community renewable energy data
- NLP and LLM usage across different tasks
- data wrangling and linkage with privacy considerations
- real-time audio signal processing on STM32
- FPGA implementation for a smart-home controller
- clustering analysis and comparison work
What these projects taught me was not just tooling, but range. I learned how to move between different technical contexts, understand what a project is actually trying to achieve, and turn methods into something testable and explainable.
I also placed first with a team in the Accenture Tech Bootcamp, where we designed and deployed a platform on AWS using Amplify and serverless technology. That experience was a good reminder that technical work becomes more valuable when it can be communicated, shipped, and improved collaboratively.