• Executing agile business strategies with lean high-performance teams by maximizing alignment, engagement, and decision-making freedom.
• Excellent domain knowledge in pharma, biotech, and capital markets.
• Coaching teams on how to apply the scientific method, back-briefing, and having effective conversations with productive conflict.
• Driving machine learning, data analytics and business intelligence projects using a Plan-Predict-Do-Check-Evaluate cycle.
• Leading and implementing industrial full-stack data science, machine learning, natural language processing, and recommender system projects.
• Designing, developing, and optimizing search engines for structured and unstructured data with natural language query interfaces.
• Architecting (sub-second) low-latency stream processing platforms and high-volume batch processing systems.
• Designing annotation & active learning systems and curating data collections to tune prompts and supervised or unsupervised machine learning models.
• Feature engineering and transfer/representation learning to support scant expert-annotated samples.
• Professional software design, prototyping, integration, deployment, and operations in the Cloud.
• Business expertise serving clients world-wide, especially the U.S. market.