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Expedia·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Coding round at Expedia for a software engineer role. One question, string manipulation, nothing flashy but it took me longer than I expected to get the logic clean.

Questions Asked (1)

Q1

Implement the Count-and-Say sequence: given n, return the nth term, where each term is generated by reading the previous term aloud as consecutive digit groups (run-length encoding).

Algorithms & Data Structures
Author's notes

I knew the pattern conceptually but fumbled the loop logic on the first pass.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and edge cases, then explain the iterative approach: generate each term from the previous by scanning and counting consecutive identical digits. Emphasize that the sequence is built iteratively, and discuss time and space complexity.

Pro tip: Mention that the sequence grows exponentially in length, so for large n, memory and time become significant; you can optimize by using a StringBuilder or list of characters to avoid repeated string concatenation.

1. Clarify the problem

Confirm the definition of the sequence, starting term (usually '1' for n=1), and constraints (e.g., n >= 1). Ask about input size to discuss performance implications.

2. Outline the iterative approach

Explain that you will start with the first term and iteratively generate the next term by scanning the current term, counting consecutive identical digits, and appending the count followed by the digit.

3. Walk through an example

Demonstrate with a small n, e.g., n=4: 1 -> 11 -> 21 -> 1211, to show how the run-length encoding works.

4. Discuss implementation details

Describe using a loop for n-1 iterations, and within each iteration, a two-pointer or single-pass scan to build the next term. Mention using a StringBuilder for efficiency.

5. Analyze complexity and edge cases

State that time complexity is O(total length of all terms up to n), which grows exponentially, and space complexity is O(length of the nth term). Handle edge cases like n=1.

Key Points to Mention

  • Run-length encoding concept
  • Iterative generation from previous term
  • StringBuilder for efficient string concatenation
  • Time and space complexity analysis
  • Edge cases (n=1, n=0 if allowed)
  • Potential optimization for large n (e.g., using lists or arrays)

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.