Engineering lead with 5 years of experience rapidly prototyping ideas, improving developer workflows, and building performant systems. I lead the R&D team at Axios, delivering AI-powered tools that drive newsroom efficiency.
Drove 25% increase in organic newsletter signups by architecting and building a recommendation engine powered by subscriber traffic patterns
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Designed and implemented an automated content-tagging system with a 70% tag acceptance rate, creating a new revenue opportunity for sponsored topic pages while adding depth to our audience cohorts
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Led an org-wide database mentorship initiative that involved pairing with each backend engineer to teach them about query optimization, leading to 20% faster median response times across all services in just 3 months
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Improved the performance review scores of two junior engineers through one-on-one mentorship, coaching, and advocacy - leading to one engineer's promotion in their next eligible promotion cycle
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Wrote a guide for safe database migrations which eliminated migration-related outages in 2025
Led the overhaul of a failing service a month ahead of schedule, reducing query time from a 90s response time down to under 500ms
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Identified table volume limitations early in our new QA service, developing and carrying out the implementation of a reporting pattern that reduces our volume by a factor of 1,000
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Mentored my two newest teammates to ensure that they were able to contribute meaningfully to the team in half of the normal ramp-up time without any significant drop to team momentum
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Created and facilitated a short-term working group to address the limitations of our core architecture before the limitations become a problem
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Created and facilitated #hack-pack - a group of 35 non-engineers who want to learn to code
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Presented at least monthly to our engineering guilds to introduce concepts and patterns
Designed and implemented the database relationships for Real-Time QA, which shipped to beta customers two weeks ahead of schedule and has generated > $4M in ARR
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Optimized indexing on our largest table at the time to reduce query times by 90%
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Implemented our first load test in order ensure that our most crucial features scale