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Chuangyu Xu
Entry-Level Software Engineer specializing in Java backend and distributed systems
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About
Built and shipped a production AI mock-interview platform where an LLM “interviewer” generates role-specific questions, runs multi-turn follow-ups, and outputs structured scoring/feedback using RAG. Demonstrates strong production-readiness practices (Prometheus/Grafana monitoring, retries/timeouts, fallback models/templates, schema validation, replay-based debugging) and achieved 99%+ availability with ~40% higher session completion. Also has experience integrating agents with messy SAP/ERP-style data sources using a data middleware layer, cleaning/validation, and idempotent write safeguards.
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Key Strengths
- Delivered production LLM interview-agent with 99%+ availability and 2–3s average response time
- Designed multi-step agent workflow using state machine + tool calling with schema-validated JSON outputs
- Built robust reliability controls: monitoring, timeouts, exponential backoff retries, and model/template fallback
- Established evaluation/feedback loop using online metrics and error replay to iteratively improve prompts and memory
- Improved user outcomes: ~40% increase in single-session mock interview completion rate
- Handled messy ERP/SAP-like integrations via schema unification, data cleaning, and idempotent write design to reduce errors
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