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Zheng Wu
Junior Software Engineer specializing in backend systems and cloud messaging
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About
Data/ML engineer who has owned end-to-end systems across email deliverability/segmentation and production LLM apps. Built a Spark+Airflow segmentation engine that materially improved deliverability (99.9%) and open rates (>50%), and shipped a PDF-to-quiz RAG product using LangChain/Vertex AI/Chroma with strong guardrails and an eval loop that cut hallucinations to <5%.
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Key Strengths
- Owned and shipped multi-tenant email segmentation/automation with clear infra tradeoffs (hourly batch vs real-time) to control cost/complexity
- Improved email performance metrics post-launch (bounce rate down ~15%, delivery rate to 99.9%, open rate from ~35% to >50%)
- Production RAG pipeline from PDFs to quizzes with robust guardrails (caps, validation, JSON parsing + retries, dedupe/uniqueness checks)
- Designed LLM eval loops spanning retrieval + generation metrics and human review; reduced hallucinations to <5% via chunking/prompt/grounding changes
- Built reliable, scalable Spark/Airflow data pipelines with canonical schemas, idempotency, dedupe, and observability for messy SES/bounce artifacts
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