Build and deploy LLM-powered workflows for bioinformatics and metabolomic chemistry. Translate scientific questions into reliable AI tasks, query biological data and knowledge graphs, generate traceable recommendations, and develop benchmarking and evaluation infrastructure. Collaborate with wet-lab scientists, chemists, microbiologists, and engineers while contributing Python code, data architecture, pipelines, and model deployment to a shared production codebase.