Software Engineer, Production Infrastructure \& Marketplace Forecasting, 11/2021 - Present
Forecasting Platform: Scaled marketplace forecasting to support a 50x increase in data throughput.
- Delivered two flagship forecasting models powering marketplace pricing at far finer granularity, serving 7 features from a single model where each prior model served one.
- Unblocked the scale-up by implementing compression across every API surface of the platform, reducing data transfer size by 10x.
- Collaborated with data scientists to validate model performance throughout the scale-up, maintaining accuracy (MAPE < 10%).
- Spearheaded a new S3 pointer sinking pattern enabling customers to consume features too large for the API layer, designed to integrate cleanly alongside existing sink patterns.
- Drove team planning and roadmap definition, including an async training data loading initiative projected to reduce memory usage by 20GB per pod.
Zone Aware Routing: Improved intra availability zone routing with ROI of $2 million.
- Reduced inter-AZ production traffic by 40%, saving $2M annually on data transfer costs.
- Migrated 1,416 microservices serving 500K+ requests/second to Envoy load balancing subsets.
- Deprecated error prone load balancing components in favor of configuring load balancing subsets in Envoy.
- Wrote design spec and Grafana/Kibana dashboards. Communicated with customer teams to debug load balancing edge cases.
No More Yaml (NoMoYa): Decreased time-to-deploy networking settings from 15 minutes to less than 30 seconds.
- Implemented new configuration API server (Go) and user interface (TypeScript + React) handling circuit breakers, health check endpoints, traffic migrations, and network dependency allow lists.
- Improved team operations through self-service SEV mitigation, preventing context switching from team members.
Control Plane Backend Sharding: Collaborated with tech lead to simplify endpoint discovery.
- Transitioned from leader-elected writers to independent writers, enhancing service reliability and simplifying the deployment pipeline.
- Implemented new data layer on control plane frontend and backend with 0 downtime, and a 99.95% mesh availability SLA.
- Parallelized service discovery queue reducing endpoint query latency by roughly 50%.
Operations \& Leadership
- Participated in debugging and mitigating more than 100 incidents through analyzing various Kibana and Prometheus queries, and SSHing into hosts themselves to validate networking components.
- Performed technical deep dives on load balancing, did 30+ candidate interviews, actively participated in team planning, and acted as mentor for both interns and new-hires.
- Part of interview revamp working group. Developing new interview standards to address changes in the interview space related to LLMs.
