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Shiting Ding
Mid-level Software Engineer specializing in Ads backend and ML infrastructure
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About
Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.
Experience
Education
Key Strengths
- Uses hands-on demos and code snippets to persuade customers and drive prototype-to-production adoption
- Rapidly fine-tunes models to meet customer-specific edge cases (e.g., distinguishing similar chess pieces)
- Structured real-time troubleshooting: reproduce issues, inspect logs/metrics, and triage by severity
- Fast incident resolution with clear time-to-fix targets (SEV2 ~1 hour; SEV3 ~3 hours to 1 day)
- Builds and leverages runbooks to speed repeat issue resolution and continuous improvement
- Tailors technical communication to audience (engineers vs managers) with impact framing
- Partners with customer-facing teams to incorporate feedback, ship new features, and deliver quick patches
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