Lead and execute applied AI/ML projects: translate ambiguous business problems into technical approaches, architect and validate models and pipelines, engage clients, mentor small teams, ensure code and deliverable quality, and contribute to business development and technical strategy.

Lead development and execution of commercial AI/ML programs, manage full product lifecycle, align roadmaps with stakeholders, prioritize features, ensure compliance (security, Responsible AI), and maintain client communication while improving program management processes.

Design cohesive brand systems, marketing materials, product interfaces, and data visualizations. Collaborate with cross-functional teams to translate complex technical ideas into clear, usable visual experiences and maintain scalable design systems.

Provide high-touch executive support to the CEO: manage calendar, inbox, travel, meeting notes, priorities, and follow-ups; handle sensitive information; support government-adjacent logistics and occasional personal coordination.

Early-career Data Scientist who performs EDA and data cleaning, builds visualizations, engineers features, supports modeling and experiments, identifies novel data sources, and communicates results to technical and non-technical stakeholders.