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Siyuan Peng
Engineering Manager specializing in enterprise SaaS, cloud analytics, and ML-driven systems
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About
Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.
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Key Strengths
- Led a 20-person cross-functional engineering team (full-stack, QA, data, ML, DevOps, tech writing, PM)
- Customer-needs-first delivery approach (working backwards from feedback to scope)
- Delivered 50% reduction in simulation/test product lifecycle; secured long-term strategic SLA
- Designed scalable ingestion architecture (FastAPI + Kafka + multiprocess workers) to keep web tier non-blocking
- Operational excellence: correlation IDs and centralized logging for cross-service diagnostics
- Performance-minded messaging design (minimized Kafka payloads to metadata)
- Decoupled analytics and visualization into separate services to improve workflow, performance, and debuggability
- Effective open-source collaboration: identified and fixed rare NATS connection bug; resolved maintainer disagreement via performance data and optional dependency compromise
- Improved developer experience with automated Python dependency validation/config tool, reducing onboarding time by 30%
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1 publication
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