Founding father of BYOR - AI Together with the BEST 2016
AI Together with the Best may be 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 way of a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founding father of startup BYOR (Create your Own Resume) speaking at AI With The Best, online tech conference about her Phrase2Vec technology. Aerin is building an AI-based resume helper using NLP parsing. Every time a user uploads her resume on the webapp, it provides suggestions concerning how to increase your resume regarding its wording or phrases.
Please show a bit about your background just before BYOR and just how do you get into data?
I was a NLP data scientist at the startup called Boxfish. I did a great deal of Twitter text modeling there together been fascinated daily from the quantity of information that might be gleaned coming from all the written text that people were generating. Because it was obviously a startup, our company was building the item from scratch over many iterations. That training solved the problem later while i turned my idea in a product (BYOR).
What propelled you to push NLP parsing technology for Resumés?
My co-founder i have already been volunteering as resume reviewers and mentors for Columbia University since 2014. Each year, we found there is a pattern for weak resumes and we found ourselves giving students the same advice year in year out. We saw a way for some automation with this resume reviewing process.
Also in school career centers, it’s difficult to get a one-on-one session with career advisors since the student-to-advisor ratio is hundreds to one. We chose to create a tool that could be employed by students to review their resume prior to meeting their career advisors, or as a substitute.
The BYOR project started as the class project for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and I took that class online.
How can you train the phrase embedding neural networks to find similarities and relations between phrases?
The key way to find similarities and relations between two different phrases is converting the crooks to phrase vectors after which locating the distance between these vectors. There are various approaches to calculate phrase vectors. The easiest way that you can try is usually to first train the word vectors after which weight average those word vectors used in the phrases.
What can BYOR do in comparison to other CV checkers?
Currently, there isn't any company that suggests result phrases over a specific sentence. Even AI companies with higher volume of funding don’t open their platforms like us. Inviting individuals to upload any type of resume and give them suggestions is often 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 otherwise. They don’t see the user’s resume line by line semantically.
What’s been the most exciting a part of your startup adventure?
Probably the most exciting part is the place we help the “phrase suggestion algorithm” everyday and flourish in generating phrases which make sense.
Also, before the startup, That i used to help a major bank. If you are a employee of a big company, your career description is incredibly narrowly focused. However in a startup, I could research all the parts with the product. It's been very exciting personally thus far.
Also, it’s amazing to determine lots of people adding to 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 coach word vectors, we use code written in C.
What advice could you give budding AI developers?
If you're AI developer, Applied Math basics are very important to suit your needs. Invest several of your time and energy to go over Linear Algebra, Optimization, Probability that you learned during college.
Are you looking forward to speaking at AI Using the Best?
Yes! I favor that it’s priced under 100 bucks in order that average person can attend. And it’s on the net!!! People/students shouldn’t must have sponsors to wait such tech conferences. Together with the Best line-up is really as good as a $3000 conference.