Behavioral Prompt: Walk Through Four Resume Projects (ML Engineer Onsite)
Provide an in-depth walkthrough of four projects from your resume. For each project, cover the following:
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Problem and Constraints
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What user/business problem were you solving?
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Key constraints (latency/throughput, memory, cost, safety/compliance, reliability/SLA, timeline, data availability).
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Your Role and Ownership
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Your specific responsibilities and scope (technical decisions, leadership, cross-team collaboration, delivery).
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Architecture and Key Technical Decisions
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System/data/model architecture at a high level.
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Key design choices (models/features, online/offline pipelines, infra/tools, rollout strategy).
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Alternative(s) Considered and Trade-offs
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At least one alternative approach.
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Trade-offs made (accuracy vs latency, complexity vs maintainability, short-term vs long-term impact).
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Measurable Outcomes
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Quantitative results (e.g., latency p95, QPS, cost, reliability, AUC/NDCG/CTR, retention/revenue impact).
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Defend and Reflect
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If challenged with “this performs poorly” or “we wouldn’t do this,” defend with data and reasoning.
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What you would change in hindsight and why.
Tip: Use a structured narrative (Situation → Task → Actions → Results → Trade-offs → Hindsight), and include concrete metrics throughout.