Ada Lovelace Senior Software Engineer ada@example.com +1 (555) 123-4567 San Francisco, CA GitHub LinkedIn Summary Senior engineer with 8+ years building distributed systems and developer platforms. Led the red of a payments pipeline processing $2B annually, cutting latency 40% and cost 30%. Passionate ab systems that scale cleanly and teams that ship calmly. Experience Senior Software Engineer at Anthropic (Tenure 1)2023 - Present San Francisco • • CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingr through the model router, eliminating three legacy proxies, consolidating four telemetry sys into one, and reducing end-to-end p99 latency from 240ms to 78ms while cutting monthly infrastructure spend by $340K and improving developer velocity measurably across the org • • Led the design of a streaming inference pipeline serving 1M+ daily requests at p99 < 80ms • • Cut inference cost 38% by re-architecting the model router on a tiered GPU fleet. • • Mentored 4 engineers; established the team's on-call runbooks and incident review proces Senior Software Engineer at Anthropic (Tenure 2)2023 - Present San Francisco • • CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingr through the model router, eliminating three legacy proxies, consolidating four telemetry sys into one, and reducing end-to-end p99 latency from 240ms to 78ms while cutting monthly infrastructure spend by $340K and improving developer velocity measurably across the org • • Led the design of a streaming inference pipeline serving 1M+ daily requests at p99 < 80ms • • Cut inference cost 38% by re-architecting the model router on a tiered GPU fleet. • • Mentored 4 engineers; established the team's on-call runbooks and incident review proces Senior Software Engineer at Anthropic (Tenure 3)2023 - Present San Francisco • • CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingr through the model router, eliminating three legacy proxies, consolidating four telemetry sys into one, and reducing end-to-end p99 latency from 240ms to 78ms while cutting monthly infrastructure spend by $340K and improving developer velocity measurably across the org • • Led the design of a streaming inference pipeline serving 1M+ daily requests at p99 < 80ms • • Cut inference cost 38% by re-architecting the model router on a tiered GPU fleet. • • Mentored 4 engineers; established the team's on-call runbooks and incident review proces Senior Software Engineer at Anthropic (Tenure 4)2023 - Present San Francisco • • CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingr through the model router, eliminating three legacy proxies, consolidating four telemetry sys into one, and reducing end-to-end p99 latency from 240ms to 78ms while cutting monthly infrastructure spend by $340K and improving developer velocity measurably across the org • • Led the design of a streaming inference pipeline serving 1M+ daily requests at p99 < 80ms • • Cut inference cost 38% by re-architecting the model router on a tiered GPU fleet. • • Mentored 4 engineers; established the team's on-call runbooks and incident review proces Senior Software Engineer at Anthropic (Tenure 5)2023 - Present San Francisco • • CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingr through the model router, eliminating three legacy proxies, consolidating four telemetry sys into one, and reducing end-to-end p99 latency from 240ms to 78ms while cutting monthly infrastructure spend by $340K and improving developer velocity measurably across the org • • Led the design of a streaming inference pipeline serving 1M+ daily requests at p99 < 80ms • • Cut inference cost 38% by re-architecting the model router on a tiered GPU fleet. • • Mentored 4 engineers; established the team's on-call runbooks and incident review proces Senior Software Engineer at Anthropic (Tenure 6)2023 - Present San Francisco • • CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingr through the model router, eliminating three legacy proxies, consolidating four telemetry sys into one, and reducing end-to-end p99 latency from 240ms to 78ms while cutting monthly infrastructure spend by $340K and improving developer velocity measurably across the org • • Led the design of a streaming inference pipeline serving 1M+ daily requests at p99 < 80ms • • Cut inference cost 38% by re-architecting the model router on a tiered GPU fleet. • • Mentored 4 engineers; established the team's on-call runbooks and incident review proces Projects OpenMetrics at Open-source Prometheus-compatible metrics aggregator.2022 - Present • • 1.2k GitHub stars; adopted by 3 mid-size companies. OpenMetrics at Open-source Prometheus-compatible metrics aggregator.2022 - Present • • 1.2k GitHub stars; adopted by 3 mid-size companies. OpenMetrics at Open-source Prometheus-compatible metrics aggregator.2022 - Present • • 1.2k GitHub stars; adopted by 3 mid-size companies. Skills Languages:TypeScriptGoPythonRust Infrastructure:PostgresKubernetesTerraformRedis Domains:Distributed SystemsLLM InfraPayments Frontend:ReactNext.jsTailwindVite Cloud:AWSGCPCloudflareFly.io Education B.S. Computer Science at Stanford University2012 - 2016 Systems & AI B.S. Computer Science at Stanford University2012 - 2016 Systems & AI Certifications AWS Solutions Architect — Professional Certified Kubernetes Administrator (CKA) Google Cloud Professional Cloud Architect Languages EnglishNative MandarinProfessional