Backend and Mobile focused Software Engineer with 6 years of experience building AI-powered features and scalable infrastructure at Meta, Quantcast, and Google.
Backend-focused Software Engineer with 6 years experience who loves national parks and animals, especially exotic cats.
Meta Software Engineer since 2023. Software Engineer at Quantcast 2018-2023. Google Software Engineering Intern in summer of 2017.
As part of the Personalized AI Capabilities team at Meta Reality Labs, developed features that added individualized context to AI interactions on wearable devices.
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Contributed to launch of Reminders feature for Ray-Ban Meta smart glasses, announced at Meta Connect 2024, working with Kotlin on the Android version of Meta Wearables App.
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Implemented features around synching reminders and associated media, providing a consistent experience across devices and when reinstalling.
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Added metrics logging for reminders operations to track usage analytics, end-to-end latency, and error rates.
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Integrated user contact embeddings to refine personalized voice recognition when searching for contacts, enhancing accuracy and ease of use.
Member of Common Tools and Services team building and maintaining internal applications to support other teams.
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Wrote Ruby on Rails service that takes parameters from a React UI or GraphQL API and turns them into a group of configured Kubernetes objects providing users easy access to hosting, DNS, monitoring, logging, Vault secrets integration, and rollbacks, eventually responsible for running nearly a thousand user services.
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Contributed to existing Rails project for managing and monitoring cronjob tasks, including improving page load times via PostgreSQL query optimizations and stability bugfixes.
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Created Python application for the automated, scheduled, non-disruptive termination of Kubernetes nodes, which later was revisited to tailor to other teams' unique use cases and for cycling out old nodes during cluster migrations.
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Migrated a legacy in-house user login Java service to Okta, providing additional security to users and reducing oncall tickets by roughly 10 per week.
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Upgraded Kubernetes cluster versions five times, including both migrations to separate clusters where services had to be moved by me with a seamless switchover as well as Amazon EKS in-place upgrades, every time requiring proactive communication with other teams about API deprecations and deployment windows resulting in little-to-no downtime.
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Maintained installations of 3rd party and vendored services, including Github Enterprise, Graylog, Sourcegraph, ArgoCD, Istio, among others.
