· Support international customers (including Netflix & Meta) with assessing, auditing, and evaluating configurations of their resources.· Serve on GovCloud/ITAR-specific on call rotations in addition to overall AWS Config Compliance on call rotation.

· Reduced API traffic by 80%, latency by 40%, and exceptions by 5%, improved the listening experience for millions of Amazon Music customers, saved curators time by automating manual processes, and received award by delivering new feature for highly curated flagship stations. · Tech lead from inception to successful launch of new service tier experience to millions of Amazon Music customers worldwide, demonstrating cross-team collaboration, prioritization skills, and grit, standing up a new testing framework, and managing full dev lifecycle across 3 services.· Improved listening by 15% and reduced latency by 5% as tech lead for ML model migration.· Tech lead for pre-launch org-wide feature (API updates across 5 services, enabled ML analysis).· Reduced incoming tickets by 7% by addressing root cause issues; number one ticket resolver for 2022, closing 244 tickets, which represents 23% of ticket volume on an 8 person team.

· Decreased mitigation time by 8 minutes per high severity event for 7 services by aggregating relevant data and using machine learning (ML) to identify root causes (self-driven side project).· Decreased future test implementation time by 50% and latency by 4% by centralizing test support for all vector providers and optimizing feature vector creation for ML supported sequencing. · Improved listening by 20% by implementing ML informed logic for personalized stations. · Mitigated 102 Log4j/JNDI violations and closed 83 tickets in a one week period by remediating vulnerabilities that could lead to remote code execution and managing a large-scale AWS event.· Mentored 15+ prospective software engineers through 1:1s, code reviews, and design reviews.

· Successfully launched feature to millions of Amazon Music customers worldwide that proactively triggers asynchronous music queue population before the customer runs out of tracks. As of Nov 2023, this code is still serving millions of production customers. · Supported successful launch of a multi-modal, cloud-based music queue for millions of Amazon Music customers by implementing metrics and dashboards for newly developed Cloud Queue micro-service.

· Awarded Most Valuable Participant (MVP) for project-based unit by designing and implementing a full stack web service that serves as a virtual rolodex.· Selected as one of 45 participants across Amazon for 9-month professional development program for high-achieving diverse talent based on leadership potential and academic success.