Founding father of BYOR - AI Together with the BEST 2016
AI With all 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 through a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founding father 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. When a user uploads her resume for the webapp, it provides suggestions regarding how to increase your resume regarding its wording or phrases.
Please reveal a bit relating to your background prior to BYOR and just how have you enter into data?
I used to be a NLP data scientist with a startup called Boxfish. I did a lot of Twitter text modeling there together been fascinated every single day from the quantity of information that is gleaned from all the written text that folks were generating. Because it would have been a startup, all of us was building the product from scratch over many iterations. That training reduced the problem later once i turned my idea in to a product (BYOR).
What propelled you to definitely push NLP parsing technology for Resumés?
My co-founder and i also happen to be volunteering as resume reviewers and mentors for Columbia University since 2014. Each year, we found you will find there's pattern for weak resumes and now we found ourselves giving students the identical advice every single year. We were treated to a way for some automation in this resume reviewing process.
Also at school career centers, it’s hard to get a one-on-one session with career advisors because the student-to-advisor ratio is hundreds to one. We chose to create a tool that might be utilised by students to analyze their resume before meeting their career advisors, or as a substitute.
The BYOR project started as the class work for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and that i took that class online.
How do you train the term embedding neural networks to discover similarities and relations between phrases?
The key way to find similarities and relations between two different phrases is converting these to phrase vectors and after that locating the distance between these vectors. There are various methods to calculate phrase vectors. The simplest way that one can try is usually to first train the term vectors then weight average those word vectors employed in the phrases.
What can BYOR do compared to other CV checkers?
Currently, there isn't any company that implies result phrases on the specific sentence. Even AI companies with good volume of funding don’t open their platforms like us. Inviting people to upload virtually any resume and provide them suggestions is a challenging problem on many levels and taking it on uses a little bravery.
What traditional CV checkers do is not hard keyword extraction or keyword counting to test whether certain words are used or not. They don’t see the user’s resume line by line semantically.
What’s been the most exciting part of your startup adventure?
The most exciting part is the place we improve the “phrase suggestion algorithm” everyday and reach your goals in generating phrases that produce sense.
Also, ahead of the startup, I did previously benefit a big bank. If you're an employee of a giant company, your career description is quite narrowly focused. But in a startup, I will experiment with every part with the product. It is often extreme fun for me thus far.
Also, it’s amazing to see a lot of people contributing to BYOR voluntarily.
If it’s not a secret, that is your favourite technological setup?
It’s a well known fact. We use python django for web. All NLP/deep learning code is written in python.
To teach word vectors, we use code developed in C.
What advice do you give to budding AI developers?
If you're AI developer, Applied Math basics are very important for you. Invest a few of your time and efforts go over Linear Algebra, Optimization, Probability that you learned during college.
Have you been enthusiastic about speaking at AI Together with the Best?
Yes! I prefer that it’s priced under 100 bucks to ensure average person can attend. And it’s on the net!!! People/students shouldn’t have to have sponsors to attend such tech conferences. With all the Best line-up will be as good as a $3000 conference.