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FOUNDER OF BYOR - AI Using the BEST 2016


Founding father of BYOR - AI Together 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 providing you with 100 incredible speakers by having a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR  (Create 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 for the webapp, it offers a superior suggestions regarding how to enhance your resume regarding its wording or phrases.

Please inform us somewhat concerning your background just before BYOR and how do you get into data?

I used to be a NLP data scientist at a startup called Boxfish. I did lots of Twitter text modeling there together been fascinated every single day from the volume of information that might be gleaned from all the written text that individuals were generating. Given it was a startup, we was building the product on your own over many iterations. That training solved the problem later when I turned my idea in a product (BYOR).

What propelled one to push NLP parsing technology for Resumés?

My co-founder and that i happen to be volunteering as resume reviewers and mentors for Columbia University since 2014. Every year, we found there exists a pattern for weak resumes and now we found ourselves giving students the identical advice every year. We saw an opportunity for some automation in this resume reviewing process.

Also in school career centers, it’s difficult to get a one-on-one session with career advisors since the student-to-advisor ratio is hundreds to at least one. We chose to produce a tool that could be employed by students to analyze their resume before meeting their career advisors, or alternatively.

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

How will you train the saying embedding neural networks to get similarities and relations between phrases?

The principle approach to finding similarities and relations between two different phrases is converting the crooks to phrase vectors and then finding the distance between these vectors. There are numerous ways to calculate phrase vectors. The most effective way that one can try is always to first train the saying vectors and then weight average those word vectors employed in the phrases.

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

Currently, there isn't any company that means result phrases over a specific sentence. Even AI companies with good volume of funding don’t open their platforms like us. Inviting website visitors to upload any type of resume and provides them suggestions can be a challenging problem on many levels and taking it on requires a little bravery.

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

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

One of the most exciting part happens when we help the “phrase suggestion algorithm” day-to-day and flourish in generating phrases that produce sense.

Also, prior to the startup, I did before work with a large bank. An advanced employee of a giant company, your job description is extremely narrowly focused. However in a startup, I will experiment with all the parts with the product. Many experts have thrilling to me to date.

Also, it’s amazing to see many people leading to BYOR voluntarily.

If it’s a well known fact, 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 practice word vectors, we use code developed in C.

What advice would you get for budding AI developers?

In case you are AI developer, Applied Math basics are important for you. Invest a number of your time and efforts go over Linear Algebra, Optimization, Probability that you just learned during college.

Have you been enthusiastic about speaking at AI With The Best?

Yes! I love that it’s priced under 100 bucks to ensure that average man or woman can attend. And it’s online!!! People/students shouldn’t require sponsors to go to such tech conferences. With all the Best line-up will be as good like a $3000 conference.