I bring over 12 years of expertise in building high-performant, large-scale, data-driven software systems at AWS, Amazon, and Microsoft. This is supported by a MSc in Computer Science with a thesis that combined high performance computing and applied mathematics and optimization.Throughout my career I have had a focus on building highly performant systems, including spearheading multiple performance projects for an AWS database, consistently achieving 10x improvements. My background also includes 3 years of optimizing CPU and memory utilization for Exchange and complemented by an MSc thesis focused on high performance computing.In distributed and cloud computing, I spent 2 years developing throttling and caching libraries for Amazon and have 7 years of experience building on AWS. My proficiency in data and observability spans 9 years of creating metrics and dashboards with a consistent emphasis on data-driven decisions.My deep knowledge of databases includes 5 years working on database internals at AWS and 7 years utilizing AWS SQL and NoSQL databases.As a mentor, I have 7 years of experience guiding junior engineers, mentoring female engineers across Amazon, teaching Amazon's performances testing class and leading a database book club to foster knowledge growth.Passionate about sustainability, I have worked on projects to reduce Amazon’s packaging waste, engaged in volunteer work focused on environmental and social change, and interned with OXFAM in Morocco, supporting local development efforts.This blend of technical prowess, mentorship, and commitment to sustainability drives me to contribute effectively to any team.