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 Founding father of startup BYOR (Construct 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. Whenever a user uploads her resume around the webapp, it gives suggestions concerning how to boost your resume regarding its wording or phrases.
Please inform us a little relating to your background prior to BYOR and the way would you enter data?
I was a NLP data scientist at a startup called Boxfish. Used to a great deal of Twitter text modeling there coupled with been fascinated every day by the quantity of information that may be gleaned from all the written text that people were generating. Given it would be a startup, all of us was building the merchandise from scratch over many iterations. That training helped me later after i turned my idea right into a product (BYOR).
What propelled you to push NLP parsing technology for Resum�s?
My co-founder and I have been volunteering as resume reviewers and mentors for Columbia University since 2014. Yearly, we found there exists a pattern for weak resumes and that we found ourselves giving students precisely the same advice year after year. We got an opportunity for some automation with this resume reviewing process.
Also in school career centers, it�s hard to get a one-on-one session with career advisors as the student-to-advisor ratio is hundreds to at least one. We thought we would develop a tool that might be utilized by students to review their resume ahead of meeting their career advisors, or alternatively.
The BYOR project started because the class project for the CS 224d (Dr. Richard Socher) at Stanford. Rohit and I took that class online.
How will you train the saying embedding neural networks to discover similarities and relations between phrases?
The principle 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 numerous approaches to calculate phrase vectors. The simplest way that one can try is to first train the term vectors and after that weight average those word vectors utilized in the phrases.
What can BYOR do in comparison with other CV checkers?
Currently, there is no company that suggests result phrases on the specific sentence. Even AI companies with higher amount of funding don�t open their platforms like us. Inviting visitors to upload just about any resume and provides them suggestions is really a challenging problem on many levels and taking it on uses a little bravery.
What traditional CV checkers do is straightforward keyword extraction or keyword counting to test whether certain words are used or otherwise not. They don�t understand the user�s resume line by line semantically.
What�s been essentially the most exciting section of your startup adventure?
One of the most exciting part is when we enhance the �phrase suggestion algorithm� daily and flourish in generating phrases that produce sense.
Also, ahead of the startup, I did previously work for a huge bank. If you are an employee of a big company, your work description is extremely narrowly focused. In a startup, I will experiment with all parts in the product. It is often very exciting personally so far.
Also, it�s amazing to determine many people adding to BYOR voluntarily.
If it�s not a secret, which can be your favourite technological setup?
It�s not a secret. We use python django for web. All NLP/deep learning code is constructed in python.
To coach word vectors, we use code coded in C.
What advice can you give budding AI developers?
If you are AI developer, Applied Math basics are very important to suit your needs. Invest a number of your time and efforts to talk about Linear Algebra, Optimization, Probability which you learned during college.
Are you currently excited about speaking at AI Together with the Best?
Yes! I prefer that it�s priced under 100 bucks to ensure that general public can attend. And it�s on the net!!! People/students shouldn�t have to have sponsors to attend such tech conferences. With The Best line-up is really as good as a $3000 conference.
Last updated 187 days ago by byor4