Founding father of BYOR - AI Using the BEST 2016
AI 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 Founding father of startup BYOR (Create your Own Resume) speaking at AI Together with 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 around the webapp, it offers a superior suggestions on the way to improve your resume regarding its wording or phrases.
Please tell us a little about your background prior to BYOR and the way do you enter data?
I used to be a NLP data scientist with a startup called Boxfish. I did so plenty of Twitter text modeling there coupled with been fascinated every day from the level of information that is gleaned from all of the written text that folks were generating. As it was obviously a startup, all of us was building the product from scratch over many iterations. That training taught me to be later after i turned my idea in a product (BYOR).
What propelled you to push NLP parsing technology for Resumés?
My co-founder and I have already been volunteering as resume reviewers and mentors for Columbia University since 2014. Every year, we found there's a pattern for weak resumes so we found ourselves giving students the identical advice year after year. We got a way for some automation with this resume reviewing process.
Also at school career centers, it’s hard to get a one-on-one session with career advisors since the student-to-advisor ratio is hundreds to at least one. We thought we would create a tool that could be utilized by students to review their resume ahead of meeting their career advisors, or as an alternative.
The BYOR project started because class task for the CS 224d (Dr. Richard Socher) at Stanford. Rohit i took that class online.
How do you train the saying embedding neural networks to find similarities and relations between phrases?
The key option to finding similarities and relations between two different phrases is converting the crooks to phrase vectors after which choosing the distance between these vectors. There are many different methods to calculate phrase vectors. The easiest way that anyone can try is usually to first train the phrase vectors then weight average those word vectors used in the phrases.
Exactly what do BYOR do in comparison to other CV checkers?
Currently, there is absolutely no company that suggests result phrases over a specific sentence. Even AI companies with good level of funding don’t open their platforms like us. Inviting visitors to upload virtually any resume and provides them suggestions is often 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 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 section of your startup adventure?
The most exciting part happens when we help the “phrase suggestion algorithm” everyday and flourish in generating phrases that produce sense.
Also, prior to startup, I did previously benefit a major bank. If you are an employee of a big company, your career description is incredibly narrowly focused. But in a startup, I can try out every part in the product. It's been exciting to me thus far.
Also, it’s amazing to see many people adding to BYOR voluntarily.
If it’s not a secret, which can be your favourite technological setup?
It’s a well known fact. We use python django for web. All NLP/deep learning code is constructed in python.
To coach 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 very important for you personally. Invest a number of your time and effort to go over Linear Algebra, Optimization, Probability which you learned during college.
Are you currently looking forward to speaking at AI Together with the Best?
Yes! I love that it’s priced under 100 bucks so that public can attend. And it’s on the web!!! People/students shouldn’t require sponsors to wait such tech conferences. With The Best line-up is really as good like a $3000 conference.