Designs and implements generative AI solutions for customer environments, taking LLM, RAG, and agent-based systems from prototypes to scalable production integrations across cloud platforms and business processes.
Build and operate a secure, reliable AI agents platform, owning its runtime, GenAI gateway, rollout controls, observability, and evaluation infrastructure for healthcare products.
Design and implement production-ready AI agents, prompt-based solutions, and automated workflows for customer-service and payment processes, using Python and Azure Databricks while evaluating quality and reliability.
Build and deploy AI systems, including multi-agent workflows and LLM-powered applications, while integrating models into cloud services and developing prompt strategies for client projects.
Build and deploy production generative AI systems for enterprise customers, combining hands-on workflow discovery, process redesign, rigorous evaluation, and end-to-end engineering to deliver measurable business outcomes.
