Practical Implementation and Coding Questions

Evaluation of practical software and implementation choices that turn research ideas into working prototypes or production systems. Topics include numerical stability and floating point considerations, computational complexity and runtime trade offs, memory and cache efficiency, vectorization and batching strategies, parallelization and hardware acceleration decisions, profiling and benchmarking, algorithmic optimizations, reproducible experimentation, testing and validation of implementations, and when to prototype versus productionize. Candidates may be asked to reason about concrete implementation plans, performance trade offs, and robustness concerns in realistic research scenarios.