Projects
Comparing Explanations Across Machine Learning Models and LLMs
A framework to generate, visualise, and compare explanations from classical machine-learning models and LLMs, applied to healthcare prediction.
Explainable NLP for Conversational Clinical Language
Data‑mining project analysing conversational patient-doctor text using interpretable ML and LLM‑based explanations for ICD‑10 classification.
Cloud‑ and Edge‑Deployed Machine Learning Network Function (xApp)
Designed and deployed a containerised machine‑learning xApp for real‑time network traffic classification, evaluated under load using Kubernetes, Prometheus, and Grafana.
OppiaMobile - An Offline‑First Open‑Source Learning Platform for Healthcare
Conceived, initiated, and led the development of an open‑source, offline‑first mobile learning platform for healthcare training, deployed at national scale in collaboration with Ministries of Health.