Abhishek Das
Quality Engineering Manager @Elsevier
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WORK HISTORY
Quality Engineering Manager @Elsevier
Bengaluru, IN
As a Quality Engineering Manager, I am a strategic partner in building high-quality, consumer-centric software. I lead the technical vision and execution for multiple high-impact product lines, empowering a team of 25+ QE professionals to deliver scalable and resilient solutions.By architecting and deploying comprehensive testing methodologies—including Performance, Accessibility, Mobile, and UI Automation—I\'ve driven significant improvements in release velocity and product stability.My expertise includes the strategic integration of AI tools to predict and prevent quality issues, ensuring a robust and efficient quality engineering practice that directly impacts user trust and business outcomes.
EDUCATION
Haldia Institute of Technology
Bachelor of Technology - BTech, Industrial Engineering
ABOUT ABHISHEK DAS
As a Quality Engineering Manager at Elsevier Health, I lead the technical quality strategy across multiple enterprise-scale clinical product lines. My focus is on driving automation maturity, observability, and building model centric applications for enterprise automation within highly governed healthcare environments.I lead and manage a 25+ member globally distributed Quality Engineering team, enabling the delivery of intelligent, reliable, and compliant healthcare solutions at scale.My expertise spans architecting scalable test automation frameworks, embedding a QualityOps-first culture, and defining outcome-driven test strategies. Through strategic automation and AI-assisted quality intelligence, I have helped reduce release cycles by up to 30% while maintaining regulatory precision and product reliability.Currently, I am deeply passionate about evolving our quality ecosystem into a Model-Centric Platform. I am actively building custom AI agents—utilizing GitHub Copilot Agents for code-level automation and Copilot Studio for enterprise operational workflows—to enable teams to build trustworthy, data-driven quality ecosystems where technical excellence, AI innovation, and measurable business outcomes converge.
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