Founding father of BYOR - AI Using the BEST 2016
AI Using the Best will be the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 giving you 100 incredible speakers through a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR (Make your Own Resume) speaking at AI Using 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 on the webapp, it offers a superior suggestions regarding how to improve your resume regarding its wording or phrases.
Please tell us a little about your background prior to BYOR and just how did you enter data?
I had been a NLP data scientist at a startup called Boxfish. Used to do lots of Twitter text modeling there along been fascinated every day from the quantity of information that could be gleaned from all the text that men and women were generating. Since it was a startup, our company was building the product yourself over many iterations. That training solved the problem later while i turned my idea into a product (BYOR).
What propelled that you push NLP parsing technology for Resumés?
My co-founder i are already volunteering as resume reviewers and mentors for Columbia University since 2014. Yearly, we found you will find there's pattern for weak resumes and now we found ourselves giving students the same advice every year. We got an opportunity for some automation in this resume reviewing process.
Also in school career centers, it’s challenging a one-on-one session with career advisors for the reason that student-to-advisor ratio is hundreds to a single. We decided to produce a tool that may be utilised by students to examine their resume just before meeting their career advisors, or alternatively.
The BYOR project started since the class work for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and i also took that class online.
How will you train the saying embedding neural networks to get similarities and relations between phrases?
The main strategy for finding similarities and relations between two different phrases is converting these phones phrase vectors then choosing the distance between these vectors. There are several approaches to calculate phrase vectors. The simplest way that one can try is always to first train the phrase vectors then weight average those word vectors found in the phrases.
So 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 higher level of funding don’t open their platforms like us. Inviting visitors to upload virtually any resume and give them suggestions is really a challenging problem on many levels and taking it on requires a little bravery.
What traditional CV checkers do is not hard keyword extraction or keyword counting to evaluate whether certain language is used or otherwise not. They don’t see the user’s resume line by line semantically.
What’s been one of the most exciting part of your startup adventure?
The most exciting part happens when we help the “phrase suggestion algorithm” daily and achieve generating phrases that make sense.
Also, prior to startup, I did before work with a huge bank. If you're an employee of a big company, your career description is quite narrowly focused. But also in a startup, I will research all the parts of the product. It's been extreme fun for me thus far.
Also, it’s amazing to determine many individuals causing BYOR voluntarily.
If it’s not a secret, 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 train word vectors, we use code developed in C.
What advice would you share with budding AI developers?
If you're AI developer, Applied Math basics are necessary for you personally. Invest a few of your time and energy go over Linear Algebra, Optimization, Probability that you just learned during college.
Do you think you're excited about speaking at AI Together with the Best?
Yes! I prefer that it’s priced under 100 bucks in order that average person can attend. And it’s online!!! People/students shouldn’t need to have sponsors to attend such tech conferences. With all the Best line-up is really as good like a $3000 conference.