● Built GenAI Tooling and Interfaces for Low Code CI/CD Pipelines● Led the expansion of agentic pipelines and knowledge management systems to RBC’s Caribbean Division● Pitched and built a novel graph-based Machine Learning System for Enterprise use. Lead interactions with third-party SaaS Vendors for the same

• Researching Protein Function Prediction Models utilizing Transformers• Data engineering; developing Graph Neural Network (GNN) models to learn protein interactions & spatial representations; predicting functions with Gene Ontology (GO) scheme• Employing parameter-tuning, optimisation and CAFA5 developments to boost performance

●Developed database for IHPST Scholars and Faculty. Implemented LLM plug-ins for cartographic source translation. Contributed to 95% reduction in translation efforts●Data engineering World War II era Primary Sources for embedding models. UI Modelling based on Museum Archives, David Rumsey Map Collection. Visualizing multi-modal, multi-lingual literary datasets using manifold approximation and stochastic neighbor embedding

• Designed reliable, robust microservices in TypeScript, complete with User Authentication, SOLID design principles and plug-and-play architecture. Ongoing replication in Rust.• Rigorously tested service REST APIs using Postman workbench, Mocha, Chai• Redesigned legacy (SQL) database architectures to support multiple ORMs and SQL/noSQL, added support for custom and third-party Validators• Appointed Intern Team Lead to preside over sprint meetings, host Git seminars and guide team workflows

• UX Intern for a Start-up (currently pre-seed) aimed at Engagement in FinTech and Financial Literacy. • Lead Technical Content Creation• Utilized Marketing, Search Engine Optimization, Storytelling and Data Analysis to create compelling user stories.