Lead AI-augmented full-stack development from concept to production: define architecture and design-system standards, integrate Figma with AI tools, oversee backend (Supabase, SQL/NoSQL) and auth (OAuth/JWT), manage Jira workflows, mentor engineers, and collaborate cross-functionally to deliver scalable, enterprise-grade applications.

Lead design and delivery of scalable data integration, storage, and infrastructure to enable analytics and AI. Build ETL/ELT pipelines, cloud-native data systems, IaC and CI/CD, ensure SRE practices (SLOs/SLIs), prototype end-to-end solutions, and drive architectural trade-offs while collaborating across teams to transition validated solutions to platform engineering.

Lead design and delivery of end-to-end ML systems using advanced statistics, causal inference, and deep learning; deploy models on cloud and big-data platforms; define data strategy and governance; lead AI evaluation and MLOps practices; rapidly prototype solutions and translate business needs into scalable technical deliverables.

Lead MVP-first product strategies by partnering with commercial stakeholders and engineering to prototype, validate, and scale AI/data-driven solutions. Drive discovery, lean roadmaps, agile delivery, user research, and stakeholder communication to deliver measurable business impact.