FOUNDER OF BYOR - AI WITH 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 giving you 100 incredible speakers by having a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founding father of startup BYOR (Build 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 around the webapp, it offers suggestions on the way to improve your resume regarding its wording or phrases.
Please tell us somewhat relating to your background ahead of BYOR and just how did you enter data?
I used to be a NLP data scientist in a startup called Boxfish. Used to plenty of Twitter text modeling there together been fascinated every day by the amount of information that could be gleaned from all of the writing that individuals were generating. Since it would have been a startup, we was building the product over completely from scratch over many iterations. That training helped me later after i turned my idea into a product (BYOR).
What propelled that you push NLP parsing technology for Resumés?
My co-founder and that i have been volunteering as resume reviewers and mentors for Columbia University since 2014. Annually, we found there is a pattern for weak resumes and that we found ourselves giving students the same advice year after year. We saw a way for some automation in this resume reviewing process.
Also at college career centers, it’s difficult to get a one-on-one session with career advisors as the student-to-advisor ratio is hundreds to a single. We chose to build a tool that could be utilized by students to analyze their resume prior to meeting their career advisors, or as an alternative.
The BYOR project started because class project 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 locate similarities and relations between phrases?
The primary way to find similarities and relations between two different phrases is converting these phones phrase vectors and then finding the distance between these vectors. There are many different approaches to calculate phrase vectors. The easiest way that you can try is usually to first train the term vectors after which weight average those word vectors used in the phrases.
Exactly what can BYOR do compared to other CV checkers?
Currently, there's no company that means result phrases over a specific sentence. Even AI companies with higher quantity 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 takes a little bravery.
What traditional CV checkers do is simple keyword extraction or keyword counting to check on whether certain words are used you aren't. They don’t understand the user’s resume line by line semantically.
What’s been the most exciting part of your startup adventure?
Probably the most exciting part occurs when we enhance the “phrase suggestion algorithm” daily and flourish in generating phrases that make sense.
Also, prior to startup, I did previously benefit a big bank. An advanced employee of a big company, your task description is extremely narrowly focused. But also in a startup, I will test out every aspect from the product. It's been extreme fun for me so far.
Also, it’s amazing to view a lot of people adding to BYOR voluntarily.
If it’s not a secret, that's 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 to budding AI developers?
Should you be AI developer, Applied Math basics are necessary to suit your needs. Invest some of your time and efforts go over Linear Algebra, Optimization, Probability that you simply learned during college.
Are you looking forward to speaking at AI Using the Best?
Yes! I favor that it’s priced under 100 bucks to ensure public can attend. And it’s on the net!!! People/students shouldn’t require sponsors to attend such tech conferences. Together with the Best line-up is really as good as a $3000 conference.