Behavioral/Leadership Prompt: Two Projects (Internship + Research)

Context

You are interviewing for a Machine Learning Engineer role during a technical screen. The interviewer wants concise, structured evidence of end-to-end ownership, technical depth, and measurable impact.

Task

Briefly introduce two projects—one internship and one research. For each project, cover:

1. Problem and constraints (business/user goal, scale, latency/memory limits, data availability)
2. Your role and ownership (what you personally led/built/decided)
3. Key technical decisions and why (model/data/pipeline/metrics; trade-offs)
4. Notable challenges and how you addressed them (failure modes, debugging, constraints)
5. Measurable results/impact (offline and online metrics, A/B outcomes, latency/throughput)
6. One improvement if you had more time (next step, risk you’d retire, or scalability plan)

Keep each project to ~2–3 minutes. Use concrete numbers where possible (e.g., +2.1% CTR, p99 latency 45 ms, AUCPR +0.16).