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FOUNDER OF BYOR - AI Using the BEST 2016

byor

FOUNDER OF BYOR - AI With all the BEST 2016

AI With all the Best may be the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 bringing you 100 incredible speakers through a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founding father of startup BYOR  (Build 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. Each time a user uploads her resume for the webapp, it offers a superior suggestions regarding how to enhance your resume regarding its wording or phrases.

Please tell us a little regarding your background ahead of BYOR and exactly how did you end up in data?

I used to be a NLP data scientist at a startup called Boxfish. Used to lots of Twitter text modeling there coupled with been fascinated daily through the volume of information that is gleaned all the text that men and women were generating. Because it was a startup, our company was building the item over completely from scratch over many iterations. That training solved the problem later when I turned my idea into a product (BYOR).

What propelled you to push NLP parsing technology for Resumés?

My co-founder i are already volunteering as resume reviewers and mentors for Columbia University since 2014. Each year, we found there's a pattern for weak resumes so we found ourselves giving students the same advice year after year. We got a way for some automation within this resume reviewing process.

Also in school career centers, it’s difficult 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 utilised by students to check their resume ahead of meeting their career advisors, or as an alternative.

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

How do you train the term embedding neural networks to find similarities and relations between phrases?

The main way to find similarities and relations between two different phrases is converting these phones phrase vectors after which locating the distance between these vectors. There are various ways to calculate phrase vectors. The simplest way that anyone can try is to first train the saying vectors and after that weight average those word vectors employed in the phrases.

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

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

What traditional CV checkers do is easy keyword extraction or keyword counting to test whether certain test is used or not. They don’t see the user’s resume line by line semantically.

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

Essentially the most exciting part occurs when we enhance the “phrase suggestion algorithm” day by day and flourish in generating phrases that make sense.

Also, ahead of the startup, That i used to benefit a major bank. An advanced employee of a giant company, your work description is quite narrowly focused. But in a startup, I can test out every part from the product. Many experts have exciting personally up to now.

Also, it’s amazing to view many individuals causing BYOR voluntarily.

If it’s a well known fact, which can be your favourite technological setup?   

It’s not a secret. We use python django for web. All NLP/deep learning code is constructed in python.

To teach word vectors, we use code written in C.

What advice would you get for budding AI developers?

If you're AI developer, Applied Math basics are important for you personally. Invest a number of your time and effort to debate Linear Algebra, Optimization, Probability that you just learned during college.

Do you think you're excited about speaking at AI With The Best?

Yes! I like that it’s priced under 100 bucks to ensure general public can attend. And it’s on the net!!! People/students shouldn’t must have sponsors to go to such tech conferences. With The Best line-up is really as good like a $3000 conference.