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Jun Ouyang
Principal Software Engineer / Tech Lead specializing in distributed systems, payments, and reliability
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About
Backend engineer with DoorDash experience building production-critical systems spanning LLM-based real-time safety moderation (SendBird callbacks + ChatGPT risk scoring with automated actions) and large-scale payments data pipelines (Kafka to CockroachDB with aggregation APIs). Also led cross-team reliability work to standardize SLOs and drove an incident redesign from batch pull to real-time push callbacks to eliminate critical-event latency.
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Key Strengths
- Built and shipped production LLM-based safety moderation with automated enforcement actions
- Improved customer satisfaction scores by 11%+ via real-time message risk evaluation
- End-to-end ownership across BFF/backend, persistence, and actioning workflows
- Cost/performance optimization through experimentation comparing Moderation vs Chat Completions APIs
- Led cross-team SLO consolidation and execution rigor across three engineering teams
- Delivered measurable reliability targets (Tier-0 99.99%; 80% Tier-1 99.9%; Tier-2 99.5%)
- Strong backend/system design for scale (Kafka ingestion, CockroachDB, aggregation jobs, API design)
- Data-modeling decision-making validated via guidance review, platform-team alignment, and experiments
- Incident leadership: reduced crisis-event latency from ~20 minutes to ~2 minutes and redesigned to real-time push callbacks
- Implemented metrics and alerts to prevent recurrence and ensure SLO compliance
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