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FOUNDER OF BYOR - AI Using the BEST 2016

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Founding father of BYOR - AI WITH THE BEST 2016

AI Using 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 having a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR  (Make your Own Resume) speaking at AI Using 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 for the webapp, it offers a superior suggestions on the way to increase your resume regarding its wording or phrases.

Please show somewhat regarding your background prior to BYOR and the way have you enter into data?

I had been a NLP data scientist at a startup called Boxfish. Used to do lots of Twitter text modeling there together been fascinated daily from the level of information that could be gleaned coming from all the words that folks were generating. Given it would be a startup, all of us was building the merchandise over completely from scratch over many iterations. That training solved the problem later while i turned my idea in to a product (BYOR).

What propelled you to push NLP parsing technology for Resumés?

My co-founder and that i have already been volunteering as resume reviewers and mentors for Columbia University since 2014. Each year, we found there's a pattern for weak resumes and we found ourselves giving students precisely the same advice year in year out. We had an opportunity for some automation within this resume reviewing process.

Also at school career centers, it’s challenging to get a one-on-one session with career advisors for the reason that student-to-advisor ratio is hundreds to 1. We made a decision to build a tool that may be utilized by students to check their resume just before meeting their career advisors, or as a substitute.

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

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

The principle option to finding similarities and relations between two different phrases is converting them to phrase vectors and then choosing the distance between these vectors. There are various methods to calculate phrase vectors. The easiest way that you can try is usually to first train the word vectors and after that weight average those word vectors found in the phrases.

What can BYOR do when compared with other CV checkers?

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

What traditional CV checkers do is simple keyword extraction or keyword counting to evaluate whether certain language is used or otherwise not. They don’t understand 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 occurs when we help the “phrase suggestion algorithm” daily and reach your goals in generating phrases that will make sense.

Also, prior to startup, That i used to help a major bank. If you are a employee of a big company, your task description is quite narrowly focused. In a startup, I will experiment with every part of the product. It is often very exciting personally up to now.

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

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

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

To train word vectors, we use code designed in C.

What advice do you give budding AI developers?

If you are AI developer, Applied Math basics are essential for you personally. Invest some of your time and effort go over Linear Algebra, Optimization, Probability that you learned during college.

Are you currently excited about speaking at AI Using the Best?

Yes! I favor that it’s priced under 100 bucks so that general public can attend. And it’s on the net!!! People/students shouldn’t need to have sponsors to go to such tech conferences. With all the Best line-up will be as good as a $3000 conference.