Walk Through a Research Project You Led (End-to-End)
Provide a concise, structured narrative that demonstrates scientific rigor, engineering depth, and ownership. Address the following:
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Problem definition and business/customer impact
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Hypotheses and success criteria (primary/secondary metrics, target effect sizes)
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Dataset selection or collection, labeling strategy, and data quality checks
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Experimental design
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Offline: modeling approach, evaluation protocol, ablations
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Online: A/B design, sample size/power, guardrail metrics
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System architecture for training, serving, and monitoring (latency/cost constraints)
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Key results (quantitative outcomes, error analysis)
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Trade-offs (accuracy vs. latency, complexity, cost, interpretability, fairness)
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Unexpected challenges and how you addressed them
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Validation and reproducibility (holdouts, A/A tests, backtests, ablations)
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Future extensions or system design improvements
Keep your core story to 3–5 minutes and be ready to deep-dive on any component.