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:

1. Problem and Constraints

• What user/business problem were you solving?
• Key constraints (latency/throughput, memory, cost, safety/compliance, reliability/SLA, timeline, data availability).

2. Your Role and Ownership

• Your specific responsibilities and scope (technical decisions, leadership, cross-team collaboration, delivery).

3. Architecture and Key Technical Decisions

• System/data/model architecture at a high level.
• Key design choices (models/features, online/offline pipelines, infra/tools, rollout strategy).

4. Alternative(s) Considered and Trade-offs

• At least one alternative approach.
• Trade-offs made (accuracy vs latency, complexity vs maintainability, short-term vs long-term impact).

5. Measurable Outcomes

• Quantitative results (e.g., latency p95, QPS, cost, reliability, AUC/NDCG/CTR, retention/revenue impact).

6. Defend and Reflect

• If challenged with “this performs poorly” or “we wouldn’t do this,” defend with data and reasoning.
• 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.