Leads a team of full-stack engineers while setting technical strategy, architecture, and roadmaps for enterprise portfolio design platforms. Drives delivery of scalable Python and Angular or React applications, engineering best practices, operational resilience, and Agile execution. Leads adoption of applied and generative AI, including intelligent workflows, automation, responsible AI governance, and AI-assisted development. Partners with business and technology stakeholders, mentors technical leaders, and delivers innovative solutions that improve advisor engagement, productivity, and client experiences.

Designs and develops generative AI and machine learning solutions for fixed income investment and business problems. Builds and fine-tunes models, analyzes structured and unstructured data, engineers features, evaluates performance, and supports deployment through APIs and scalable pipelines. Collaborates with portfolio managers, researchers, data engineers, and stakeholders while applying responsible AI principles, data governance, and clear communication of insights.