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FOUNDER OF BYOR - AI Using the BEST 2016

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FOUNDER OF BYOR - AI Together with 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 giving you 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 With all the Best, online tech conference about her Phrase2Vec technology. Aerin is building an AI-based resume helper using NLP parsing. Whenever a user uploads her resume around the webapp, it gives suggestions on how to boost your resume regarding its wording or phrases.

Please inform us a lttle bit regarding your background ahead of BYOR and exactly how would you enter data?

I had been a NLP data scientist in a startup called Boxfish. I did a great deal of Twitter text modeling there together been fascinated each day with the quantity of information that is gleaned from all the writing that men and women were generating. As it was obviously a startup, all of us was building the merchandise from scratch over many iterations. That training reduced the problem later after i turned my idea right into a product (BYOR).

What propelled one to push NLP parsing technology for Resumés?

My co-founder and i also have already been 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 exactly the same advice year after year. We had an opportunity for some automation within this resume reviewing process.

Also at school career centers, it’s hard 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 develop a tool that may be employed by students to analyze their resume prior to meeting their career advisors, or as a substitute.

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

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

The key way to find similarities and relations between two different phrases is converting the crooks to phrase vectors then seeking the distance between these vectors. There are numerous approaches to calculate phrase vectors. The easiest way that anyone can try would be to first train the word vectors then weight average those word vectors utilized in the phrases.

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

Currently, there isn't any company that suggests result phrases on the specific sentence. Even AI companies with higher volume of funding don’t open their platforms like us. Inviting people to upload any type of resume and provide them suggestions can be 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 check whether certain language is used or not. They don’t view the user’s resume line by line semantically.

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

One of the most exciting part happens when we enhance the “phrase suggestion algorithm” everyday and succeed in generating phrases which make sense.

Also, ahead of the startup, That i used to work with a large bank. If you are an employee of a giant company, your task description is incredibly narrowly focused. In a startup, I could test out every part with the product. It's been extreme fun for me personally thus far.

Also, it’s amazing to view many individuals 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 presented in python.

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

What advice can you get for budding AI developers?

If you are AI developer, Applied Math basics are important for you. Invest several of your time and efforts go over Linear Algebra, Optimization, Probability that you simply learned during college.

Do you think you're enthusiastic about speaking at AI Using the Best?

Yes! I like that it’s priced under 100 bucks to ensure average person can attend. And it’s on the internet!!! People/students shouldn’t have to have sponsors to attend such tech conferences. Using the Best line-up is really as good as being a $3000 conference.