Building HireMe

This won most complete solution @ Innovate 4 SDSU Hackathon

HireMe is a one stop platform for job seekers to prep for interviews. It’s a consolidation of several tools I previously built, now combined into a single interface that understands natural-language commands and removes the friction of jumping between apps.

You upload your résumé, the interviewer’s LinkedIn profile, and the job posting. We scrape Reddit, Glassdoor, and other sources to surface the most relevant interview insights — including common interview questions, company culture notes, salary expectations, conversation hooks based on the interviewer’s background, and recent company news. The platform also provides a 7-day study plan, an overview of the interview process, contact information for people currently in the role, and a mock interview simulation generated from scraped data and your résumé.

When creating HireMe I realized our parallel api + webscraping pipeline was taking up to 45 seconds to process a single request. I decided to introduce multithreading to be able to run these processes in parallel rather than sequentially. After implementing multithreading I cut down pipeline time by 30-45 seconds, a massive improvement.