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Yaoxin Liu
Intern Full-Stack Software Engineer specializing in real-time web systems
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About
Built and iterated an end-to-end virtual waiting room for a real-time ticketing prototype, making concrete architecture tradeoffs (polling + Redis Pub/Sub) and improving performance post-launch with Redis caching (+30% throughput, -15% p99 latency). Also has hands-on experience building Spark/HDFS ETL pipelines with strong reliability/observability patterns and running disciplined NLP model evaluation loops on review-rating classification.
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Key Strengths
- Owned and shipped a virtual waiting room end-to-end for traffic spikes with clear product behavior definition
- Pragmatic architecture tradeoffs (WebSockets vs polling) balancing responsiveness, complexity, and scalability
- Post-launch performance optimization using Redis caching (≈30% throughput increase, ≈15% p99 latency reduction)
- User-feedback-driven iteration improving clarity of queue states and expiration behavior
- Structured ML evaluation loops (fixed test set + edge cases, per-class precision/recall, manual error review, regression prevention)
- Built resilient Spark ETL with quarantine of malformed records, idempotent reruns, and strong observability
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