FOUNDER OF BYOR - AI Together with the BEST 2016
AI With The Best could be the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 giving you 100 incredible speakers by having a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founding father of startup BYOR (Construct your Own Resume) speaking at AI Together with the Best, online tech conference about her Phrase2Vec technology. Aerin is building an AI-based resume helper using NLP parsing. Every time a user uploads her resume on the webapp, it gives suggestions concerning how to improve your resume regarding its wording or phrases.
Please reveal a lttle bit about your background prior to BYOR and the way have you enter data?
I had been a NLP data scientist in a startup called Boxfish. Used to a great deal of Twitter text modeling there coupled with been fascinated each day through the volume of information that might be gleaned from all the words that people were generating. Given it would have been a startup, our team was building the product on your own over many iterations. That training solved the problem later when I turned my idea into a product (BYOR).
What propelled you to definitely push NLP parsing technology for Resumés?
My co-founder and i also are already volunteering as resume reviewers and mentors for Columbia University since 2014. Each year, we found there exists a pattern for weak resumes and now we found ourselves giving students the identical advice year in year out. We had a way for some automation with this resume reviewing process.
Also at school career centers, it’s difficult to get a one-on-one session with career advisors because the student-to-advisor ratio is hundreds to at least one. We decided to develop a tool that might be utilized by students to analyze their resume ahead of meeting their career advisors, or instead.
The BYOR project started because the class task for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and i also took that class online.
How can you train the term embedding neural networks to discover similarities and relations between phrases?
The principle option to finding similarities and relations between two different phrases is converting these to phrase vectors then choosing the distance between these vectors. There are many different solutions to calculate phrase vectors. The easiest way that you can try would be to first train the saying vectors then weight average those word vectors utilized in the phrases.
What can BYOR do in comparison with other CV checkers?
Currently, there isn't any company that implies result phrases on a specific sentence. Even AI companies with higher volume of funding don’t open their platforms like us. Inviting individuals to upload any kind of resume and provide them suggestions is a challenging problem on many levels and taking it on requires a little bravery.
What traditional CV checkers do is straightforward keyword extraction or keyword counting to check whether certain test is used or otherwise not. They don’t view the user’s resume line by line semantically.
What’s been one of the most exciting part of your startup adventure?
Essentially the most exciting part happens when we improve the “phrase suggestion algorithm” day-to-day and reach your goals in generating phrases that produce sense.
Also, before the startup, I used to help a large bank. If you are a employee of a big company, your work description is very narrowly focused. But in a startup, I will try out all the parts from the product. Many experts have extreme fun for me thus far.
Also, it’s amazing to view lots of people causing BYOR voluntarily.
If it’s a well known fact, which is your favourite technological setup?
It’s a well known fact. We use python django for web. All NLP/deep learning code is written in python.
To practice word vectors, we use code coded in C.
What advice would you get for budding AI developers?
If you're AI developer, Applied Math basics are important for you. Invest some of your time and efforts to talk about Linear Algebra, Optimization, Probability which you learned during college.
Have you been looking forward to speaking at AI With The Best?
Yes! I love that it’s priced under 100 bucks to ensure public can attend. And it’s on the web!!! People/students shouldn’t require sponsors to visit such tech conferences. With The Best line-up is as good as being a $3000 conference.