I enjoy solving complex product and platform problems with a practical, product-minded approach that balances reliability, speed, and long-term maintainability.
Summary
Peter Zhang
Software Engineer specializing in scalable backend systems, distributed services, and API-driven
platforms. Experienced in designing, building, and operating high-performance, reliable cloud-native
applications. Passionate about platform engineering, domain-driven design, and enabling engineering
teams through well-designed APIs, automation, and developer productivity tools.
Professional Experience
Senior Software Engineer
2026.6 - present
OnSpot Data
- Designed and developed backend services for an ad-tech platform, supporting high-throughput ad request and response workflows
- Built and optimized APIs (REST/GraphQL) for reporting and campaign analytics, improving data access flexibility and query performance
- Integrated ad delivery and tracking systems, ensuring accurate impression, click, and conversion event processing
- Worked on scaling backend infrastructure to handle large volumes of real-time advertising traffic with low latency
Software Engineer
2022.6 - 2026.5
PixelFyre Code Labs
- Led the redesign of a legacy reporting API to a GraphQL interface, improving query flexibility and reducing average response time by 40% for complex data fetches
- Designed and implemented a domain-driven service boundary for the user management module, isolating core logic and reducing cross-service dependencies by 60%
- Architected a centralized event-driven notification system using Kafka, processing 50K+ events daily and decoupling core services from downstream alerting logic
- Established OpenAPI specification standards and automated documentation generation, improving API contract clarity and reducing integration errors by 25%
- Orchestrated a zero-downtime database migration for a core entity table, involving schema changes and data backfill for over 5 million records
Software Engineer
2020.7 - 2022.5
Meta
- Contributed to a large-scale internal platform API used by 100+ product teams, focusing on scalability and adherence to strict governance policies
- Built and maintained high-throughput data ingestion pipelines, reliably handling bursts of over 1 million events per hour for real-time analytics
- Implemented advanced caching strategies with Redis clusters, achieving a 99.8% cache hit rate and reducing latency for frequently accessed configuration data
- Drove the implementation of comprehensive integration and load testing suites, increasing confidence in deployment stability and catching critical path failures