Architected an internal AI research tool to expedite the background research processTested and fine-tuned LLMs (e.g. Gemma, GPT, Claude) for data extraction and analysis from documentsDeveloped a RESTful API for interfacing with the user interface, handling user information, project details, search history, and report synthesisImplemented document analysis capabilities, integrating third-party API calls for document retrieval from multiple databases and transformation into reports… Show more Architected an internal AI research tool to expedite the background research processTested and fine-tuned LLMs (e.g. Gemma, GPT, Claude) for data extraction and analysis from documentsDeveloped a RESTful API for interfacing with the user interface, handling user information, project details, search history, and report synthesisImplemented document analysis capabilities, integrating third-party API calls for document retrieval from multiple databases and transformation into reports using AI modelsAuthenticated users with Google login and Django authentication to enforce access permissionsDeployed applications onto Azure Cloud services for hosting and scalabilityConfigured NGINX as a reverse proxy to direct traffic to appropriate application components Show less

Employed Bayesian networks to predict neurological injury in pediatric patients undergoing ECMO treatmentCollaborated with researchers to integrate machine learning solutions into clinical applicationsTrained models on complex medical datasets to improve performance and accuracy