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 redesign of a payments pipeline processing $2B annually, cutting latency 40% and cost 30%. Passionate about systems that scale cleanly and teams that ship calmly.

Experience

Senior Software Engineer2023 - Present
Anthropic (Tenure 1)San Francisco
  • •CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingress through the model router, eliminating three legacy proxies, consolidating four telemetry systems 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 process.
Senior Software Engineer2023 - Present
Anthropic (Tenure 2)San Francisco
  • •CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingress through the model router, eliminating three legacy proxies, consolidating four telemetry systems 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 process.
Senior Software Engineer2023 - Present
Anthropic (Tenure 3)San Francisco
  • •CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingress through the model router, eliminating three legacy proxies, consolidating four telemetry systems 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 process.
Senior Software Engineer2023 - Present
Anthropic (Tenure 4)San Francisco
  • •CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingress through the model router, eliminating three legacy proxies, consolidating four telemetry systems 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 process.
Senior Software Engineer2023 - Present
Anthropic (Tenure 5)San Francisco
  • •CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingress through the model router, eliminating three legacy proxies, consolidating four telemetry systems 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 process.
Senior Software Engineer2023 - Present
Anthropic (Tenure 6)San Francisco
  • •CROSSPAGE-X9K2 Led a multi-quarter initiative to redesign the request pipeline from ingress through the model router, eliminating three legacy proxies, consolidating four telemetry systems 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 process.

Projects

OpenMetrics2022 - Present
Open-source Prometheus-compatible metrics aggregator.
  • •1.2k GitHub stars; adopted by 3 mid-size companies.
OpenMetrics2022 - Present
Open-source Prometheus-compatible metrics aggregator.
  • •1.2k GitHub stars; adopted by 3 mid-size companies.
OpenMetrics2022 - Present
Open-source Prometheus-compatible metrics aggregator.
  • •1.2k GitHub stars; adopted by 3 mid-size companies.

Skills

Languages: TypeScript, Go, Python, Rust

Infrastructure: Postgres, Kubernetes, Terraform, Redis

Domains: Distributed Systems, LLM Infra, Payments

Frontend: React, Next.js, Tailwind, Vite

Cloud: AWS, GCP, Cloudflare, Fly.io

Education

B.S. Computer Science2012 - 2016
Stanford UniversitySystems & AI
B.S. Computer Science2012 - 2016
Stanford UniversitySystems & AI

Certifications

AWS Solutions Architect — Professional
Certified Kubernetes Administrator (CKA)
Google Cloud Professional Cloud Architect

Languages

EnglishNative
MandarinProfessional