Design and implement comprehensive test strategies for AI/ML-based SaaS products, including automated frameworks and end-to-end testing processes. Collaborate with development and product teams to identify quality risks and mentor team members on testing best practices.
Design, build, and scale production-grade generative and agentic AI solutions to drive business impact. Lead model development and deployment across cloud platforms while mentoring a high-performing data science team.
Design and maintain scalable ETL/ELT pipelines to extract and load data from sources like Oracle. Create and optimize data models in Snowflake and Redshift to support AI/ML solutions and business objectives.
