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FOUNDER OF BYOR - AI Using the BEST 2016


FOUNDER OF BYOR - AI Together with the BEST 2016

AI With The Best is the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 giving you 100 incredible speakers via a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founding father of startup BYOR  (Create 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. When a user uploads her resume on the webapp, it gives suggestions concerning how to boost your resume regarding its wording or phrases.

Please tell us a bit regarding your background before BYOR and how did you enter into data?

I became a NLP data scientist in a startup called Boxfish. I did so a lot of Twitter text modeling there along been fascinated each day through the amount of information that might be gleaned all the words that men and women were generating. Given it was obviously a startup, our team was building the item on your own over many iterations. That training helped me later once i turned my idea right into a product (BYOR).

What propelled one to push NLP parsing technology for Resumés?

My co-founder and I happen to be volunteering as resume reviewers and mentors for Columbia University since 2014. Yearly, we found there's a pattern for weak resumes and now we found ourselves giving students the same advice every single year. We were treated to a way for some automation with 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 at least one. We decided to develop a tool that is utilized by students to analyze their resume before meeting their career advisors, or alternatively.

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

The primary way to find similarities and relations between two different phrases is converting these to phrase vectors after which finding the distance between these vectors. There are many different approaches to calculate phrase vectors. The best way that you can try is to first train the phrase vectors after which weight average those word vectors used in the phrases.

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

Currently, there's no company that suggests result phrases over a specific sentence. Even AI companies with good quantity of funding don’t open their platforms like us. Inviting people to upload any type of resume and provides them suggestions can be 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 check on whether certain language is used or otherwise. They don’t comprehend the user’s resume line by line semantically.

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

One of the most exciting part occurs when we enhance the “phrase suggestion algorithm” day-to-day and reach your goals in generating phrases that produce sense.

Also, prior to the startup, I did before work for a big bank. If you're an employee of a giant company, your career description is quite narrowly focused. However in a startup, I can research all the parts with the product. It's been very exciting to me to date.

Also, it’s amazing to find out lots of people causing BYOR voluntarily.

If it’s a well known fact, that is your favourite technological setup?   

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

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

What advice can you share with budding AI developers?

If you're AI developer, Applied Math basics are very important for you personally. Invest a number of your time and energy go over Linear Algebra, Optimization, Probability that you learned during college.

Are you currently pumped up about speaking at AI Using the Best?

Yes! I like that it’s priced under 100 bucks to ensure that public can attend. And it’s on the net!!! People/students shouldn’t require sponsors to visit such tech conferences. Together with the Best line-up is as good as being a $3000 conference.