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FOUNDER OF BYOR - AI Using the BEST 2016


Founding father 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 presenting to you 100 incredible speakers via a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founding father of startup BYOR  (Build Your Own Resume) speaking at AI Together with 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 improve your resume regarding its wording or phrases.

Please inform us a little concerning your background just before BYOR and just how did you enter data?

I became a NLP data scientist with a startup called Boxfish. Used to lots of Twitter text modeling there and had been fascinated every single day with the level of information that might be gleaned from all the writing that individuals were generating. As it was obviously a startup, all of us was building the merchandise from scratch over many iterations. That training solved the problem later when I turned my idea right into a product (BYOR).

What propelled you to definitely push NLP parsing technology for Resumés?

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

Also at college career centers, it’s challenging to get a one-on-one session with career advisors since the student-to-advisor ratio is hundreds to at least one. We decided to develop a tool that is used by students to examine their resume before meeting their career advisors, or as an alternative.

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

How do you train the word embedding neural networks to discover similarities and relations between phrases?

The main option to finding similarities and relations between two different phrases is converting them to phrase vectors after which choosing the distance between these vectors. There are numerous ways to calculate phrase vectors. The most effective way that you can try is usually to first train the word vectors after which weight average those word vectors found in the phrases.

Exactly what do BYOR do compared to other CV checkers?

Currently, there is absolutely no company that suggests result phrases on a specific sentence. Even AI companies with good amount of funding don’t open their platforms like us. Inviting individuals to upload just about any resume and give them suggestions is a challenging problem on many levels and taking it on requires a little bravery.

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

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

The most exciting part is when we improve the “phrase suggestion algorithm” day by day and achieve generating phrases that produce sense.

Also, prior to startup, I did previously work with a large bank. If you are an employee of a giant company, your job description is quite narrowly focused. But also in a startup, I will try out all the parts in the product. It is often very exciting for me thus far.

Also, it’s amazing to find out a lot of people leading to BYOR voluntarily.

If it’s not a secret, which 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 developed in C.

What advice can you get for budding AI developers?

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

Do you think you're pumped up about speaking at AI With all the Best?

Yes! I love that it’s priced under 100 bucks to ensure that general public can attend. And it’s on the internet!!! People/students shouldn’t have to have sponsors to go to such tech conferences. Using the Best line-up will be as good as being a $3000 conference.