Mid-level Software Engineer specializing in backend distributed systems and cloud platforms
Software Engineer6 years experienceMid-LevelTechnologySaaSCybersecurity
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About
Software engineer at Intel who owns a production Go/Kubernetes backend for supply-chain transparency and end-to-end hardware integrity verification in a hybrid cloud setup (AWS control plane + Azure data plane). Also built and shipped an AI agent workflow for real-estate due diligence that turns raw Excel spreadsheets into structured investment outputs and auto-generated PowerPoint insights using LangGraph, with strong emphasis on verification, observability, and reliability guardrails.
Experience
Software EngineerIntel
Software EngineerSplunk
Software Engineer InternGoogle
Education
University of California Santa Cruzmaster, Computer Science
Peking Universitymaster, Electronics and Communication Engineering
Sun Yat-Sen Universitybachelor, Computer Science
Key Strengths
Owned and built production backend service in Go deployed on Kubernetes for supply-chain hardware integrity verification
Designed and operated hybrid-cloud interfaces/data flows (AWS control plane + Azure data plane) with performance testing
Built end-to-end AI agent workflow for real-estate due diligence (Excel to structured outputs and auto-generated PowerPoint insights) using LangGraph
Structured agent systems with clear planning vs execution separation for predictability and debuggability
Pragmatic tool-error handling with categorized failures (retry, exponential backoff, human review state)
Production engineering practices: typing, unit/integration tests in CI/CD, on-call, and monitoring with Prometheus/Grafana
PostgreSQL data modeling and performance tuning; used caching when query optimization was insufficient
Implemented guardrails for AI workflows: structured logs, state-level tracing, audit logs, schema enforcement, deterministic verification gap
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