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FOUNDER OF BYOR - AI Using the BEST 2016


Founding father of BYOR - AI Using the BEST 2016

AI With all the Best will be the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 presenting to you 100 incredible speakers by way of a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR  (Create your Own Resume) speaking at AI 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 offers a superior suggestions regarding how to increase your resume regarding its wording or phrases.

Please inform us a lttle bit regarding your background just before BYOR and how have you get into data?

I used to be a NLP data scientist in a startup called Boxfish. I did so a lot of Twitter text modeling there coupled with been fascinated each day through the quantity of information that might be gleaned coming from all the writing that people were generating. As it would have been a startup, all of us was building the merchandise yourself over many iterations. That training solved the problem later after i turned my idea right into a product (BYOR).

What propelled you to push NLP parsing technology for Resumés?

My co-founder and i also have been volunteering as resume reviewers and mentors for Columbia University since 2014. Annually, we found there's a pattern for weak resumes so we found ourselves giving students exactly the same advice year in year out. We saw a chance for some automation in this resume reviewing process.

Also at college career centers, it’s challenging to get a one-on-one session with career advisors since the student-to-advisor ratio is hundreds to at least one. We thought we would create a tool that could be employed by students to review their resume prior to meeting their career advisors, or alternatively.

The BYOR project started because the class project for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and I took that class online.

How can you train the phrase embedding neural networks to locate similarities and relations between phrases?

The key strategy for finding similarities and relations between two different phrases is converting these to phrase vectors after which choosing the distance between these vectors. There are many different solutions to calculate phrase vectors. The easiest way that you can try is usually to first train the word vectors then weight average those word vectors used in the phrases.

Exactly what do BYOR do in comparison to other CV checkers?

Currently, there is absolutely no company that implies result phrases on the specific sentence. Even AI companies with higher level of funding don’t open their platforms like us. Inviting website visitors to upload just about any resume and provides them suggestions is a challenging problem on many levels and taking it on takes a little bravery.

What traditional CV checkers do is straightforward keyword extraction or keyword counting to check on whether certain words are used or otherwise not. They don’t understand the user’s resume line by line semantically.

What’s been one of the most exciting a part of your startup adventure?

The most exciting part is when we help the “phrase suggestion algorithm” day by day and reach your goals in generating phrases that will make sense.

Also, ahead of the startup, I did before help a huge bank. If you are a employee of a giant company, your task description is quite narrowly focused. In a startup, I'm able to research every part from the product. It is often extreme fun to me thus far.

Also, it’s amazing to view a lot of people adding to BYOR voluntarily.

If it’s not a secret, that is your favourite technological setup?   

It’s a well known fact. We use python django for web. All NLP/deep learning code is constructed in python.

To practice word vectors, we use code coded in C.

What advice would you give budding AI developers?

In case you are AI developer, Applied Math basics are important in your case. Invest several of your time and effort to debate Linear Algebra, Optimization, Probability that you simply learned during college.

Are you pumped up about speaking at AI With The Best?

Yes! I prefer that it’s priced under 100 bucks to ensure that average man or woman can attend. And it’s on the internet!!! People/students shouldn’t have to have sponsors to go to such tech conferences. Together with the Best line-up is as good like a $3000 conference.