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    Liam Kinney

    Liam Kinney

    Co-founder and product visionary. Former PM, tech lead, backend engineer, machine learning engineer. Experienced operator in startups from pre-seed to pre-IPO.

    Product San Francisco Stanford University '...
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    Experience
    Canal
    Canal
    Founder 2021 - Present (almost 6 years)
    Navigating the channels powering E-Commerce.
    Jumpstart
    Jumpstart
    Product Manager 2018 - 2021 (over 2 years)
    During my time at Jumpstart, from pre seed to post series B, I held roles as Machine Learning Engineer, Senior Software Engineer, and Product Manager. As an engineer, I built... more search, filtering, and recommendation systems. As a PM, I was the the sole product representative for the flagship B2B SaaS product.
    SoundHound
    SoundHound
    Software Engineer 2017 - 2018 (over 1 year)
    Software Engineer on the Natural Language Understanding (Terrier) and Data Science teams.
    Software Engineering Intern 2016 (3 months)
    Developed the "Guess That Lyric" game for our mobile platform.
    Synack
    Synack
    Product Marketing Manager Intern 2016 (3 months)
    Helped design and maintain an image for a cybersecurity company as it transitioned out of stealth mode, earned series B funding, and won an unprecedented government contract.
    AT&T
    AT&T
    Broadcast Systems Engineering Intern 2015 (2 months)
    Wrote an automated bulk loading app to migrate viewership data from legacy systems to our experimental Hadoop cluster.
    Founder
    Canal
    Employee
    Synack, SoundHound, AT&T, Jumpstart
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Projects
    Adaptive end-of-utterance timeout for real-time speech recognition
    A patent for predicting the end of speech transcription
    Software Engineer · Real-time speech recognition systems extend an end-of-utterance timeout period in response to the presence of a disfluency at the… · More end of speech, and by so doing avoid cutting off speakers mid-sentence. Approaches to detecting disfluencies include the application of disfluency n-gram language models, acoustic models, prosody models, and phrase spotting.
    Anitha Kandasamy
    Joel McKenzie
    With Joel McKenzie, Anitha Kandasamy
     
    Education
     
    About
    Achievements

    Designed, implemented, and led a team that maintains a microservice that performs multi-directional recommendations for a recruiting platform. Extensive feature engineering and machine learning went into recommending applicants to a number of entities (roles, recruiting events, companies, etc).

    Describe the most impressive thing you've done.
    Locations
    New York City Denver Austin Seattle Aspen
     
    Q&A
    What's the most useful business-related book you've ever read?

    The Personal MBA

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