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FOUNDER OF BYOR - AI Using the BEST 2016

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FOUNDER OF BYOR - AI WITH THE BEST 2016

AI Together with the Best is the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 presenting to you 100 incredible speakers by way of a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder 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. Each time a user uploads her resume on the webapp, it gives suggestions on the way to boost your resume regarding its wording or phrases.

Please tell us a little concerning your background ahead of BYOR and the way would you enter data?

I had been a NLP data scientist with a startup called Boxfish. Used to a great deal of Twitter text modeling there together been fascinated daily with the amount of information that might be gleaned all the text that individuals were generating. Since it would be a startup, all of us was building the merchandise over completely from scratch over many iterations. That training helped me later while i turned my idea right into a product (BYOR).

What propelled that you push NLP parsing technology for Resumés?

My co-founder and I have been volunteering as resume reviewers and mentors for Columbia University since 2014. Annually, we found there exists a pattern for weak resumes so we found ourselves giving students the same advice year after year. We got a way for some automation in 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 a single. We made a decision to produce a tool that is employed by students to check their resume before meeting their career advisors, or as a substitute.

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

How can you train the term embedding neural networks to locate similarities and relations between phrases?

The main way to find similarities and relations between two different phrases is converting the crooks to phrase vectors and then choosing the distance between these vectors. There are several methods to calculate phrase vectors. The easiest way that one can try is usually to first train the word vectors and after that weight average those word vectors used in the phrases.

Exactly what can BYOR do compared to other CV checkers?

Currently, there's no company that means result phrases with a specific sentence. Even AI companies with higher level of funding don’t open their platforms like us. Inviting visitors to upload just about any resume and provides them suggestions can be 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 check whether certain words are used you aren't. They don’t comprehend the user’s resume line by line semantically.

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

Essentially the most exciting part happens when we enhance the “phrase suggestion algorithm” everyday and reach your goals in generating phrases which make sense.

Also, ahead of the startup, I did before work for a large bank. If you are a employee of a big company, your career description is incredibly narrowly focused. In a startup, I can experiment with all the parts of the product. It has been thrilling personally so far.

Also, it’s amazing to determine lots 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 practice word vectors, we use code coded in C.

What advice could you get for budding AI developers?

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

Do you think you're excited about speaking at AI Together with 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 need to have sponsors to visit such tech conferences. Using the Best line-up can be as good like a $3000 conference.