Designs, develops, tests, deploys, and maintains secure software solutions across the full SDLC. Leads technical solution planning, production support, incident remediation, technology evaluations, and proof-of-concept initiatives. Creates technical documentation, ensures testing and quality compliance, coordinates offshore development, supports vendor collaboration, and mentors team members through training and knowledge transfer.

Plan and lead data science and machine learning projects for financial applications. Design, deploy, validate, monitor, and improve scalable models for transaction classification, temporal analysis, risk modeling, and structured or unstructured data. Develop innovative solutions using machine learning and data engineering best practices, identify team resource needs, and communicate technical findings, strategy, and roadmaps to business leaders, clients, and stakeholders.

Develops secure, scalable software and REST services; evaluates technical solutions, programs, tests, documents, and maintains applications. Partners with Data Science and Product teams to identify opportunities and deliver solutions. Contributes to engineering standards, efficiency, and maintainability while working with distributed teams.