Founding father of BYOR - AI Using the BEST 2016
AI With The Best will be the biggest online conference for data scientist, developers, tech teams and startups happening the 24th & 25th September 2016 providing you with 100 incredible speakers via a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR (Build 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. When a user uploads her resume on the webapp, it provides suggestions on how to improve your resume regarding its wording or phrases.
Please show somewhat regarding your background ahead of BYOR and just how have you get into data?
I became a NLP data scientist with a startup called Boxfish. I did lots of Twitter text modeling there and had been fascinated each day by the volume of information that might be gleaned all the written text that men and women were generating. Because it was a startup, our team was building the product or service over completely from scratch over many iterations. That training reduced the problem later once i turned my idea into 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. Every year, we found there is a pattern for weak resumes and that we found ourselves giving students exactly the same advice every single year. We were treated to a way for some automation in this resume reviewing process.
Also in school career centers, it’s challenging to get a one-on-one session with career advisors because the student-to-advisor ratio is hundreds to at least one. We chose to build a tool that might be used by students to examine their resume just before meeting their career advisors, or as a substitute.
The BYOR project started since the class problem for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and i also took that class online.
How will you train the phrase embedding neural networks to locate similarities and relations between phrases?
The main way to find similarities and relations between two different phrases is converting the crooks to phrase vectors and then finding the distance between these vectors. There are various solutions to calculate phrase vectors. The most effective way that you can try is always to first train the term vectors then weight average those word vectors found in the phrases.
Exactly what can BYOR do in comparison to other CV checkers?
Currently, there is no company that suggests result phrases with a specific sentence. Even AI companies with higher amount of funding don’t open their platforms like us. Inviting people to upload any kind of resume and provides them suggestions can be a challenging problem on many levels and taking it on needs a little bravery.
What traditional CV checkers do is straightforward keyword extraction or keyword counting to test whether certain test is used or otherwise. They don’t see 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 occurs when we improve the “phrase suggestion algorithm” daily and flourish in generating phrases that will make sense.
Also, before the startup, That i used to work for a big bank. If you're an employee of a big company, your work description is very narrowly focused. But in a startup, I will test out every aspect in the product. It is often thrilling for me personally to date.
Also, it’s amazing to see a lot of people leading to BYOR voluntarily.
If it’s a well known fact, 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 written in python.
To practice word vectors, we use code developed in C.
What advice do you give budding AI developers?
Should you be AI developer, Applied Math basics are essential in your case. Invest a number of your time and energy to go over Linear Algebra, Optimization, Probability that you simply learned during college.
Are you looking forward to speaking at AI Together with the Best?
Yes! I favor that it’s priced under 100 bucks to ensure that average man or woman can attend. And it’s online!!! People/students shouldn’t have to have sponsors to go to such tech conferences. Using the Best line-up is as good being a $3000 conference.