Architect resilient mobile UI/UX patterns tailored to handle latency, token streaming states, graceful fallbacks, and retry logic for non-deterministic AI behavior.
Provide technical-product oversight during the implementation phase, ensuring the engineering build remains aligned with the original customer strategy, while deferring base code-level and system-building decisions to the Engineering team.
Demonstrated expertise in medical device risk management and validation, across product lifecycle, including the development and maintenance of Risk Management Files, PFMEA, Control Plans (PCP), process validation (IQ/OQ/PQ), and the application of risk-based decision-making in compliance with regulatory and quality system requirements.
Work closely with CS leaders, ML engineers, product managers, and other stakeholders to translate reviewer feedback into prioritized experiments and system improvements.
Collaborate closely with Manufacturing, Engineering, and Facilities to communicate layout changes, resolve constraints, and ensure alignment throughout the planning and execution process.
Conduct comprehensive formulation evaluations, interpreting data and performance results to recommend improvements and guide decision making under ambiguous conditions.