At ELCA, I delivered 25+ user stories end-to-end across an enterprise Java application, from JavaFX screens and gRPC/Protobuf services to Spring Boot and Hibernate.
I cut a data-visualisation query from around 500 ms to 50 ms using Querydsl DTO projections, and applied projections across other modules. I also resolved 100+ defects, including customer-facing production issues.
For my MSc dissertation, I built the Intelligent Adaptive Learning Platform, including a PyTorch knowledge-tracing model and a retrieval-augmented LLM tutor. I also developed a Streamlit application backed by SQLite and maintained an automated suite of 271 pytest tests.
I completed hands-on machine-learning training with Python at Campalin and hold an MSc in Artificial Intelligence from the University of Mauritius.
