• Byor
    AI Using 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 via a novel, online conference platform. Meet Aerin Kim, Data Scientist turned Founder of startup BYOR (Build 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 about the webapp, it offers suggestions on the way to enhance your resume regarding its wording or phrases.

    resume build
    Please inform us somewhat relating to your background ahead of BYOR and just how have you end up in data?

    I became a NLP data scientist with a startup called Boxfish. Used to a lot of Twitter text modeling there coupled with been fascinated every single day from the quantity of information that might be gleaned all the words that folks were generating. As it was obviously a startup, our company was building the product or service yourself over many iterations. That training solved the problem later while i turned my idea in to a product (BYOR).

    What propelled one to push NLP parsing technology for Resum�s?

    My co-founder i happen to be 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 every year. We saw a chance for some automation within this resume reviewing process.

    Also in school career centers, it�s difficult 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 produce a tool that could be utilized by students to check their resume just before meeting their career advisors, or instead.

    The BYOR project started because the class work for the CS 224d (Dr. Richard Socher) at Stanford. Rohit i took that class online.

    How will you train the word embedding neural networks to get similarities and relations between phrases?

    The key option to finding similarities and relations between two different phrases is converting the crooks to phrase vectors after which choosing the distance between these vectors. There are several methods to calculate phrase vectors. The simplest way that anyone can try is to first train the term vectors and after that weight average those word vectors found in the phrases.

    So what can BYOR do when compared with other CV checkers?

    Currently, there isn't any company that means result phrases on a specific sentence. Even AI companies with higher volume of funding don�t open their platforms like us. Inviting website visitors to upload virtually any resume and provide them suggestions is often a challenging problem on many levels and taking it on requires a little bravery.

    What traditional CV checkers do is not hard keyword extraction or keyword counting to check whether certain language is used or otherwise not. They don�t view the user�s resume line by line semantically.

    What�s been the most exciting portion of your startup adventure?

    Probably the most exciting part is the place we help the �phrase suggestion algorithm� daily and flourish in generating phrases that make sense.

    Also, prior to the startup, That i used to work with a huge bank. If you're an employee of a big company, your task description is extremely narrowly focused. But in a startup, I can test out every aspect with the product. It is often very exciting for me personally thus far.

    Also, it�s amazing to view lots of people contributing to BYOR voluntarily.

    If it�s not a secret, 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 constructed in python.

    To coach word vectors, we use code developed in C.

    What advice would you give budding AI developers?

    If you're AI developer, Applied Math basics are essential to suit your needs. Invest some of your time and efforts to debate Linear Algebra, Optimization, Probability that you just learned during college.

    Do you think you're looking forward to speaking at AI Using the Best?

    Yes! I like that it�s priced under 100 bucks so 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 all the Best line-up can be as good as a $3000 conference.

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