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Drive software quality across the SDLC by defining quality strategies, designing automated unit, API, integration, UI, and mobile tests, and building resilient frameworks integrated with CI/CD. Partner with product and engineering teams on quality risks, code reviews, defect investigation, root cause analysis, and preventative improvements. Apply shift-left practices and AI-assisted tools for test generation, defect analysis, risk identification, and coverage optimization.

Drive software quality across the SDLC by defining quality strategies, building automated unit, API, integration, UI, and mobile tests, and integrating resilient frameworks into CI/CD pipelines. Partner with product and engineering teams on shift-left practices, code reviews, defect investigation, root cause analysis, and preventative improvements. Apply AI-assisted testing for test generation, defect analysis, risk identification, and coverage optimization.

Drive statistical modeling, multi-objective optimization, and validation of Meridian marketing mix modeling frameworks. Build heuristic and time-series models for noisy, limited datasets; ingest structured pipeline data for isolated experimentation; query AWS Athena and PostgreSQL using Python and advanced SQL; validate AI-assisted transformations; and collaborate with engineering teams to resolve technical dependencies while defending analytical rigor.

Drive software quality across the SDLC by defining quality strategies, building automated unit, API, integration, UI, and mobile tests, integrating resilient frameworks with CI/CD pipelines, applying shift-left practices, and using AI-assisted testing for test generation, defect analysis, risk identification, and coverage optimization. Partner with product and engineering teams to investigate defects, perform root-cause analysis, and improve product reliability.

Drive software quality across the SDLC by defining quality strategies, developing automated unit, API, integration, UI, and mobile tests, and integrating resilient frameworks into CI/CD pipelines. Partner with product and engineering teams on shift-left practices, code reviews, defect investigation, root cause analysis, and preventative improvements. Apply AI-assisted tools for test generation, defect analysis, risk identification, and coverage optimization.

Drive software quality across the SDLC by defining quality strategies, building automated unit, API, integration, UI, and mobile tests, and integrating scalable frameworks into CI/CD pipelines. Partner with product and engineering teams on shift-left practices, code reviews, defect investigation, root cause analysis, and preventative improvements. Apply AI-assisted testing for test generation, defect analysis, risk identification, and coverage optimization.

Drive software quality across the SDLC by defining quality strategies, developing automated unit, API, integration, UI, and mobile tests, integrating automation into CI/CD pipelines, applying shift-left practices, using AI-assisted testing tools, and investigating defects through root cause analysis.

Drive software quality across the SDLC by defining quality strategies, building automated unit, API, integration, UI, and mobile tests, integrating resilient frameworks with CI/CD, applying shift-left practices, leveraging AI-assisted testing, and investigating defects through root cause analysis and preventative improvements.

Lead statistical modeling and validation for Meridian marketing mix modeling frameworks. Develop heuristic and time-series models, ingest structured client data, generate multi-objective marketing spend recommendations, query AWS Athena and PostgreSQL using Python and SQL, validate AI-assisted transformations, and collaborate with engineering teams on pipeline requirements and technical dependencies.

Drive software quality across the SDLC by defining quality strategies, creating automated unit, API, integration, UI, and mobile tests, and integrating resilient frameworks into CI/CD pipelines. Partner with product, engineering, and architecture teams on shift-left testing, code reviews, defect investigation, root cause analysis, and preventative improvements. Apply AI-assisted tools for test generation, defect analysis, risk identification, and coverage optimization.