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FOUNDER OF BYOR - AI Using the BEST 2016


FOUNDER OF BYOR - AI Using the BEST 2016

AI With 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 via a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR  (Build 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 enhance your resume regarding its wording or phrases.

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

I was a NLP data scientist at a startup called Boxfish. I did a lot of Twitter text modeling there along been fascinated each day with the level of information that could be gleaned from all the writing that folks were generating. Given it would have been a startup, we was building the merchandise yourself over many iterations. That training taught me to be later after i turned my idea into a product (BYOR).

What propelled you to push NLP parsing technology for Resumés?

My co-founder and I are already volunteering as resume reviewers and mentors for Columbia University since 2014. Every year, we found there's a pattern for weak resumes and that we found ourselves giving students exactly the same advice every year. We saw a way for some automation in this resume reviewing process.

Also at college career centers, it’s difficult to get a one-on-one session with career advisors because the student-to-advisor ratio is hundreds to at least one. We decided to produce a tool that might be employed by students to analyze their resume ahead of meeting their career advisors, or instead.

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

How will you train the term embedding neural networks to discover similarities and relations between phrases?

The key approach to finding similarities and relations between two different phrases is converting these to phrase vectors then choosing the distance between these vectors. There are several ways to calculate phrase vectors. The simplest way that anyone can try is to first train the saying vectors and then weight average those word vectors utilized in the phrases.

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

Currently, there isn't any company that suggests result phrases on the specific sentence. Even AI companies with higher quantity of funding don’t open their platforms like us. Inviting visitors to upload just about any resume and give them suggestions is often a challenging problem on many levels and taking it on needs a little bravery.

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

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

One of the most exciting part is when we increase the “phrase suggestion algorithm” day-to-day and flourish in generating phrases that will make sense.

Also, prior to the startup, I did before work for a big bank. An advanced employee of a big company, your job description is incredibly narrowly focused. But also in a startup, I will test out all the parts in the product. It has been thrilling personally to date.

Also, it’s amazing to determine many individuals adding to BYOR voluntarily.

If it’s not a secret, which can be 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 practice word vectors, we use code written in C.

What advice can you give budding AI developers?

Should you be AI developer, Applied Math basics are essential to suit your needs. Invest some of your time to debate Linear Algebra, Optimization, Probability which you learned during college.

Are you currently looking forward to speaking at AI Using the Best?

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