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22 Sep 2016
Byor
AI Together with the Best will be the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 providing you with 100 incredible speakers by way of a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR (Make 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. When a user uploads her resume for the webapp, it provides suggestions on the way to improve your resume regarding its wording or phrases.

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Please show a lttle bit relating to your background just before BYOR and the way did you enter into data?

I became a NLP data scientist at the startup called Boxfish. Used to a great deal of Twitter text modeling there and had been fascinated each day through the volume of information that is gleaned all the written text that men and women were generating. Given it was obviously a startup, our company was building the product from scratch over many iterations. That training taught me to be later after i turned my idea in to a product (BYOR).

What propelled one to push NLP parsing technology for Resum�s?

My co-founder and that i are already volunteering as resume reviewers and mentors for Columbia University since 2014. Yearly, we found you will find there's pattern for weak resumes and that we found ourselves giving students precisely the same advice every year. We were treated to an opportunity for some automation in this resume reviewing process.

Also in school career centers, it�s hard to get a one-on-one session with career advisors as the student-to-advisor ratio is hundreds to a single. We chose to build a tool that is utilized by students to check their resume ahead of meeting their career advisors, or instead.

The BYOR project started as the class problem for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and i also took that class online.

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

The principle approach to finding similarities and relations between two different phrases is converting these phones phrase vectors then locating the distance between these vectors. There are various solutions to calculate phrase vectors. The best way that anyone can try is to first train the word vectors after which weight average those word vectors employed in the phrases.

Exactly what do BYOR do compared to other CV checkers?

Currently, there is absolutely no company that suggests result phrases on the specific sentence. Even AI companies with higher amount of funding don�t open their platforms like us. Inviting visitors to upload any type of resume and give them suggestions is really a challenging problem on many levels and taking it on takes a little bravery.

What traditional CV checkers do is easy keyword extraction or keyword counting to evaluate whether certain words are used or not. They don�t understand the user�s resume line by line semantically.

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

One of the most exciting part happens when we increase the �phrase suggestion algorithm� day by day and flourish in generating phrases that will make sense.

Also, ahead of the startup, I did before help a large bank. If you are a employee of a giant company, your career description is incredibly narrowly focused. But also in a startup, I could test out every part with the product. It has been extreme fun to me thus far.

Also, it�s amazing to determine lots of people contributing to BYOR voluntarily.

If it�s a well known fact, which can be 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 coach word vectors, we use code coded in C.

What advice do you give budding AI developers?

In case you are AI developer, Applied Math basics are necessary for you personally. Invest several of your time and effort to talk about Linear Algebra, Optimization, Probability that you just learned during college.

Are you excited about speaking at AI With The Best?

Yes! I like that it�s priced under 100 bucks to ensure that average person can attend. And it�s on the net!!! People/students shouldn�t have to have sponsors to attend such tech conferences. Together with the Best line-up can be as good like a $3000 conference.


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