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Andrew Liang
Intern Software Engineer specializing in full-stack and AI/ML systems
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About
Software engineer with experience at Amazon and Agora building end-to-end systems: a knowledge-base AI chatbot (React/TypeScript UI + retrieval/response backend + Docker deployment) and an internal approval governance platform using AWS Step Functions and DynamoDB. Emphasizes fast iteration without sacrificing trust via feature-flag rollouts, citation-required answers, abstention on low-confidence retrieval, regression query sets, and strong observability (request IDs, structured logs, latency/error monitoring).
Experience
Education
Key Strengths
- End-to-end ownership of customer-facing AI chatbot (frontend, backend, deployment)
- Rapid iteration with quality guardrails (feature flags, citations, abstain-on-low-confidence, regression set, monitoring)
- Strong frontend architecture for responsiveness (streaming UI; separation of chat state vs retrieval metadata; typed API layer)
- Reliable distributed workflow design at scale (Step Functions, idempotency, retries/timeouts, conditional writes)
- Observability-driven debugging (request IDs, structured logs, monitoring for latency/errors)
- Built and drove adoption of internal governance/approval tooling with auditability and measurable ops improvements (throughput, turnaround time, reduced manual touchpoints)
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