Portfolio Overview & Project Selection Questions
Be ready to describe your strongest 2-3 projects concisely. For each, explain the problem you solved, your design approach, tools used, and outcomes or learnings. Even if your projects are academic or hypothetical, focus on your thinking process and how you would measure success.
MediumTechnical
0 practiced
Describe a project where you had to optimize inference latency and throughput for production. Explain the profiling steps you performed, model changes you made (for example quantization, pruning, distillation), engineering work (batching, async pipelines, caching), and how you measured the trade-off between speed and accuracy.
MediumTechnical
0 practiced
In a specific project, how did you choose hyperparameters, avoid overfitting, and validate the model before deployment? Describe the hyperparameter search method, validation strategy (for example, cross-validation or holdout plus time-based splits), compute budget you adhered to, and the final trade-offs you accepted.
HardTechnical
0 practiced
Draft a 200 to 300 word portfolio entry for a project where you reduced inference cost by 10x while accepting a 2% absolute drop in accuracy. Include the problem statement, approach taken, key metrics before and after, stakeholder reactions, and a candid discussion of the trade-offs and monitoring put in place.
EasyTechnical
0 practiced
For a given project in your portfolio, state the evaluation metrics you used (primary and secondary), why those metrics matched the business goals, and one weakness or blind spot of the chosen metric that you were mindful of.
EasyTechnical
0 practiced
What's a concise way to explain the difference between building a prototype model and engineering a production-ready model when writing project descriptions in your portfolio? Give two concrete examples of tasks unique to productionization.
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