FOUNDER OF BYOR - AI With all the BEST 2016
AI Using 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 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 about the webapp, it gives suggestions regarding how to improve your resume regarding its wording or phrases.
Please show a bit relating to your background before BYOR and the way did you end up in data?
I became a NLP data scientist with a startup called Boxfish. I did lots of Twitter text modeling there along been fascinated every day from the volume of information that is gleaned from all the written text that folks were generating. Given it was obviously a startup, all of us was building the product from scratch over many iterations. That training reduced the problem later after i turned my idea into a product (BYOR).
What propelled one to push NLP parsing technology for Resumés?
My co-founder and i also have already been volunteering as resume reviewers and mentors for Columbia University since 2014. Annually, we found you will find there's pattern for weak resumes so we found ourselves giving students precisely the same advice every single year. We were treated to an opportunity for some automation in this resume reviewing process.
Also in school career centers, it’s hard 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 decided to build a tool that could be used by students to examine their resume ahead of meeting their career advisors, or as a substitute.
The BYOR project started because the class task for the CS 224d (Dr. Richard Socher) at Stanford. Rohit i took that class online.
How will you train the phrase embedding neural networks to discover similarities and relations between phrases?
The primary option to finding similarities and relations between two different phrases is converting these phones phrase vectors and then choosing the distance between these vectors. There are many different ways to calculate phrase vectors. The best way that anyone can try is usually to first train the saying vectors and then weight average those word vectors utilized in the phrases.
What can BYOR do in comparison with other CV checkers?
Currently, there is absolutely no company that suggests result phrases with a specific sentence. Even AI companies with good quantity of funding don’t open their platforms like us. Inviting website visitors to upload just about any resume and give them suggestions is really a challenging problem on many levels and taking it on takes a little bravery.
What traditional CV checkers do is not hard keyword extraction or keyword counting to check whether certain language is used or not. They don’t understand the user’s resume line by line semantically.
What’s been probably the most exciting part of your startup adventure?
One of the most exciting part happens when we improve the “phrase suggestion algorithm” day by day and achieve generating phrases that make sense.
Also, prior to startup, I did previously work with a major bank. An advanced employee of a giant company, your task description is very narrowly focused. But in a startup, I will research all the parts of the product. It has been very exciting to me to date.
Also, it’s amazing to determine a lot of people adding to BYOR voluntarily.
If it’s a well known fact, that is your favourite technological setup?
It’s a well known fact. We use python django for web. All NLP/deep learning code is presented in python.
To coach word vectors, we use code developed in C.
What advice can you get for budding AI developers?
In case you are AI developer, Applied Math basics are essential for you personally. Invest some of your time and efforts to debate Linear Algebra, Optimization, Probability that you simply learned during college.
Have you been looking forward to speaking at AI With The Best?
Yes! I love that it’s priced under 100 bucks in order that general public can attend. And it’s on the net!!! People/students shouldn’t need to have sponsors to go to such tech conferences. Using the Best line-up is as good as being a $3000 conference.