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FOUNDER OF BYOR - AI Using the BEST 2016

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FOUNDER OF BYOR - AI Using the BEST 2016

AI Using the Best could be the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 bringing you 100 incredible speakers by way of a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR  (Construct 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. Each time a user uploads her resume on the webapp, it gives suggestions regarding how to increase your resume regarding its wording or phrases.

Please tell us somewhat regarding your background just before BYOR and just how would you end up in data?

I was a NLP data scientist at a startup called Boxfish. Used to do plenty of Twitter text modeling there along been fascinated every single day through the amount of information that could be gleaned from all of the written text that men and women were generating. Given it would have been a startup, our company was building the item from scratch over many iterations. That training reduced the problem later while i turned my idea in to a product (BYOR).

What propelled that you push NLP parsing technology for Resumés?

My co-founder i have already been volunteering as resume reviewers and mentors for Columbia University since 2014. Every year, we found you will find there's pattern for weak resumes and we found ourselves giving students the same advice year after year. We were treated to a chance for some automation on this resume reviewing process.

Also at college career centers, it’s challenging a one-on-one session with career advisors because the student-to-advisor ratio is hundreds to a single. We thought we would produce a tool that could be used by students to review their resume before meeting their career advisors, or as an alternative.

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

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

The key strategy for finding similarities and relations between two different phrases is converting these phones phrase vectors and then finding the distance between these vectors. There are various ways to calculate phrase vectors. The simplest way that one can try would be to first train the saying vectors and after that weight average those word vectors utilized in the phrases.

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

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

What traditional CV checkers do is simple keyword extraction or keyword counting to check on whether certain test is used you aren't. They don’t understand the user’s resume line by line semantically.

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

Probably the most exciting part is when we enhance the “phrase suggestion algorithm” day-to-day and reach your goals in generating phrases that will make sense.

Also, prior to the startup, That i used to work with a huge bank. If you're an employee of a big company, your task description is quite narrowly focused. However in a startup, I can test out every aspect of the product. It's been very exciting to me up to now.

Also, it’s amazing to find out many people contributing to BYOR voluntarily.

If it’s a well known fact, which can be your favourite technological setup?   

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

To practice word vectors, we use code coded in C.

What advice can you give to budding AI developers?

Should you be AI developer, Applied Math basics are important in your case. Invest some of your time go over Linear Algebra, Optimization, Probability that you just learned during college.

Are you pumped up about speaking at AI Together with the Best?

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