Chegg

At Chegg, I develop internship-search workflows and AI tools for Internships.com, combining student research, recruiting data and cross-functional product work.

From finding a role to preparing for it

My product work at Internships.com connects student research with internship-search workflows and AI tools. The work spans the search itself and the preparation that follows: helping a student find a relevant role and practice for the conversation ahead.

The data behind the search

I build and validate recruiting-data pipelines with product, engineering, data science and marketing teams. This work connects the data a search experience depends on with the people designing, building and evaluating the product.

Practice that carries the conversation forward

I built an AI mock interviewer with adaptive follow-ups, conversation memory, failure recovery and feedback. These parts support a continuing exchange: the interviewer can follow an answer, retain context and give the student feedback on their practice.

Learning from public conversations

I analyze public social posts with embeddings and machine learning to inform student-focused growth experiments. That research sits alongside product development and student research in my Product Intern, Growth role at Chegg.