Teams at ICA, Inc.

Leads business requirements analysis and quality assurance for products in an Agile/Scrum environment. Responsibilities include documenting requirements, creating user stories and acceptance criteria, developing test strategies and cases, leading manual and automated testing, managing defects, monitoring quality metrics, maintaining JIRA workflows, integrating automation into CI/CD pipelines, and serving as the release quality gatekeeper. The role also mentors team members and collaborates with product owners, developers, and stakeholders.

Build and productionize machine learning, NLP, generative AI, and analytics solutions for healthcare and regulated federal data. Responsibilities include data preparation, feature development, experimentation, model evaluation, error analysis, validation, workflow monitoring, troubleshooting, and translating stakeholder requirements into technical solutions.

Designs and delivers machine-learning, analytics, NLP, and generative-AI solutions for healthcare and regulated federal data environments. Builds production workflows, predictive models, classification systems, and decision-support tools using structured and unstructured data. Owns data quality, experimentation, evaluation, validation, monitoring, governance, privacy, and deployment decisions. Collaborates with technical teams, domain experts, clients, and leadership to solve ambiguous, technically complex problems.