← Back to experiences
[ OK ] Loaded —
[ INFO ]
$ cd
$ ls -lt
01
02
03
04
05
$ ls -lt
01
02
03
04
05
user@intervues:~/experiences/…$
Level: Intern
Round: Onsite · Type: Multiple Types · Difficulty: 4/10 · Duration: 360 min · Interviewer: Unfriendly
Topics: Behavioral, Data Structures, Algorithms, System Design, LRU Cache, Sliding Window, Heap, Tradeoffs, Edge Cases
Location: Seattle, WA, US
Interview date: 2026-03-16
My onsite interview consisted of four behavioral rounds and two technical rounds. The behavioral questions focused on customer needs, verifying AI information, team conflict, and addressing unfamiliar and complex problems. I used two technical projects and two sales experiences to answer the behavioral questions, emphasizing quantified impact and decision-making. For the conflict question, I highlighted the importance of both persistence and compromise.
The first technical question involved deduplicating a list of events. I proposed a solution using sorting and a map of event IDs to a stack of events. I proactively discussed input boundaries and whether negative numbers had business significance, which seemed to be well-received.
I initially struggled with the second technical question, but realized it was based on the LRU cache concept. Identifying this led to a positive reaction from the interviewer. The problem was to find the median rating of the most recent 'n' comments.