Lawrence Cheng

About

Backend/platform-focused engineer who builds scalable onboarding and data ingestion pipelines for complex client data formats, emphasizing staged validation, idempotent job boundaries, and safe rollouts behind feature flags. Strong in production diagnostics (Kibana/Logstash, SQL, debugger traces) with a concrete example of finding a regression causing incorrect Tax Loss Harvesting alert counts within a day, and experienced enabling both engineers and customer-facing teams through docs, runbooks, and technical walkthroughs.

Experience

Education

Key Strengths

• Takes prototypes to production via staged pipeline design (ingestion → transform → validate → persist)
• Cross-functional alignment across product, architecture/platform, and frontend via design reviews and clear specs
• Builds scalable, safe rollouts using feature flags and detailed error reporting/logging
• Systematic real-time incident triage using live signals (error rate/latency), replayable inputs, and containment strategies
• Rapid root-cause analysis across logs, SQL, and debugging (identified a production regression within a day)
• Effective technical enablement for engineers through architecture/code-path/API walkthroughs and interactive workshops
• Improves customer adoption by equipping customer-facing teams with documentation, runbooks, and diagnosable telemetry