Senior Generative AI Engineer

Senior Generative AI Engineer with 7 years of software engineering experience, including 3+ years building production LLM systems for clinical and life-sciences teams. Builds GenAI copilots, RAG pipelines, fine-tuned models, prompt systems, and backend services that make AI usable inside real product constraints. Recent work includes building a production GenAI copilot for Interactive Review Listing / clinical data-review workflows, reducing query-build time by 75%; fine-tuning open-source LLMs with LoRA on synthesized datasets for logical-discrepancy classification, reaching 80%+ accuracy; designing model-service interfaces and configurable rule engines that reduced integration time by ~50% and improved platform efficiency by up to 80%; and building no-PHI/no-PII clinical AI tooling for public adverse-event exploration with source-grounded retrieval over openFDA, FDA labels, RxNorm, and PubMed. Previously worked as a backend developer building Python/Django/PostgreSQL pharma CRM and patient-support systems. Strongest at productionizing LLM workflows: natural-language interfaces over complex backend systems, clinical/pharma data workflows, RAG, fine-tuning, evaluation, and reliable Python/AWS backend integration.