Nikita Woolcock

Found operational limits of transmission lines via regression and confidence intervals using Python and RStudio. Implemented custom Latin Hypercube and Monte Carlo samplers for data sampling optimization. Designed and implemented a file-management database.

Statistical data analysis of high-volume medical data (t-tests, Mann-Whitney U and assumption checks) to derive research insights. Designed LLM-powered text classification pipelines (LangChain, prompt engineering) and deployed LLMs using vLLM in Docker. Implemented RAG systems with embedding generation, vector search, clustering, and NDCG-based ranking optimization to improve retrieval. Refactored backend systems, and collaborated with clinicians to design a relational schema informed by Knowledge Graph principles for multi-hop semantic analysis across medical reports; designed relational databases with indexing and FK constraints for large-scale datasets.

Tuted years 9-12 advanced mathematics to high school students in Adelaide. Adapted instruction for students with disabilities (dyslexia, autism) and reviewed materials to ensure comprehension.