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FOUNDER OF BYOR - AI Using the BEST 2016

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Founding father of BYOR - AI Together with the BEST 2016

AI Together with 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 by having 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. When a user uploads her resume on the webapp, it provides suggestions on the way to boost your resume regarding its wording or phrases.

Please inform us a little concerning your background ahead of BYOR and the way would you get into data?

I used to be a NLP data scientist with a startup called Boxfish. I did plenty of Twitter text modeling there together been fascinated every day through the amount of information that might be gleaned from all the written text that people were generating. As it would be a startup, we was building the merchandise on your own over many iterations. That training reduced the problem later when I turned my idea in 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. Annually, we found there exists a pattern for weak resumes and that we found ourselves giving students the same advice every year. We were treated to a chance for some automation on this resume reviewing process.

Also at school career centers, it’s difficult to get a one-on-one session with career advisors for the reason that student-to-advisor ratio is hundreds to at least one. We made a decision to build a tool that is employed by students to analyze their resume just before meeting their career advisors, or alternatively.

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

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

The main option to finding similarities and relations between two different phrases is converting them to phrase vectors then locating the distance between these vectors. There are several methods to calculate phrase vectors. The most effective way that anyone can try would be to first train the saying vectors and after that weight average those word vectors utilized in the phrases.

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

Currently, there is no company that suggests result phrases over a specific sentence. Even AI companies with good quantity of funding don’t open their platforms like us. Inviting people to upload any kind of resume and provide them suggestions is often a challenging problem on many levels and taking it on requires a little bravery.

What traditional CV checkers do is straightforward 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 portion of your startup adventure?

Probably the most exciting part is the place we help the “phrase suggestion algorithm” everyday and succeed in generating phrases that will make sense.

Also, ahead of the startup, That i used to help a big bank. If you are an employee of a big company, your task description is incredibly narrowly focused. But in a startup, I can try out all the parts from the product. It has been thrilling for me to date.

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

If it’s not a secret, that's 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 teach word vectors, we use code written in C.

What advice do you get for budding AI developers?

Should you be AI developer, Applied Math basics are important for you. Invest several of your time and effort go over Linear Algebra, Optimization, Probability which you learned during college.

Are you pumped up about speaking at AI Using the Best?

Yes! I like that it’s priced under 100 bucks to ensure average person can attend. And it’s on the net!!! People/students shouldn’t require sponsors to go to such tech conferences. With The Best line-up can be as good being a $3000 conference.