Own the full software development lifecycle for a healthcare admissions platform. Build and release React interfaces, REST APIs, background services, internal dashboards, feature-flag systems, and DevOps automations. Write TypeScript and SQL, maintain scalable distributed systems, improve workflows, triage production incidents, and deliver automated testing and zero-downtime releases. Translate customer needs into reliable product capabilities that improve post-acute care admissions and placement decisions.

Own the end-to-end machine learning lifecycle, including dataset creation, research, rapid experimentation, model development, deployment, monitoring, and optimization. Build production-grade ML and LLM solutions, apply techniques such as quantization and pruning, track experiments systematically, and maintain scalable MLOps pipelines. The role requires strong Python and PyTorch expertise, production ML experience, and hands-on knowledge of LLM fine-tuning, prompt engineering, RAG, and efficient inference.