Student research, recruiting data and an AI mock interviewer for Internships.com.
Student research
I research how students find roles, then develop internship-search tools.
Recruiting data
I build recruiting pipelines that validate sources, normalize listings and retain provenance, across product, engineering, data science and marketing.
AI interview practice
The interviewer adapts follow-up questions to earlier answers, with conversation memory, failure recovery and feedback.
Chegg / interview practiceCapability schematic
01
Ask a question
The student gives an answer.
02
Retain the answer
Conversation memory carries earlier responses into the next turn.
03
Follow up
Continue the interview with a question informed by that context.
Failure recoveryInterview feedback
Capabilities recorded in my public résumé. The sequence illustrates their relationship; it is not a private interview transcript or a measure of student outcomes.
Growth experiments
I analyze public social posts with embeddings and machine learning to inform student-focused growth experiments.