IB

Ivan Bercovich

Partner @ ScOp VC

Santa Barbara, California

Skills

Engineering Management
Problem Solving
Software Development
User Experience
PHP
HTML
JavaScript
MySQL
Entrepreneurship
Probability
Linux
Product Development
Cross-functional Team Leadership
Analytics
Software Engineering
User Interface Design
Embedded Systems
Enterprise Software
SEO
Cloud Computing

Work Experience

  • Partner

    2020

    We focus on post-revenue companies close to the $500k-1M milestone. Among my partners, I focus primarily on tech/AI companies, and general operating support for our founders.

  • Board

    2021

  • CEO

    2022 - 2023

    I joined full time to help HeyTutor's transition from startup to growth business. Alongside the executive team, we adopted stricter procedures and executed meaningful organizational changes. In a year, we grew the business by 5x.

2022

  • Board

    2022

  • Board

    2022

2021

  • Board

    2021

  • Board

    2021

  • Co-Founder (2021), Investor (2022+)

    2021

    I was the a co-founder of Unwrap, a startup we incubated at the Allen Institute for AI. We focused on making sense of customer feedback at scale. I was involved in building the first prototype and raising early capital, but ultimately decided to pursue investing full time. Unwrap is one of our investments at ScOp VC.

  • Entrepreneur In Residence

    2021 - 2021

2017 - 2020

  • GM for Semantic Q&A | Alexa

    2017 - 2020

    Amazon acquired our company, Graphiq, to improve Alexa's open domain question understanding and answering (Q&A) capabilities. At the time, 2017, Alexa was behind competitors in the Q&A space, but assisted by the Graphiq acquisition, Alexa caught up to be on par or be the best-in-class assistant on various knowledge categories. I led the team of 130 software developers and knowledge engineers, who jointly built the technology and knowledge graph supporting Alexa's semantic Q&A capabilities. By the time I ended my tenure in 2020, the Graphiq technology was answering most Q&A questions across all languages (English, German, Japanese, Spanish, French, Portuguese, Hindi) and locales in which Alexa was present. The technology our team built takes a transcribed input from automatic speech recognition (ASR) and handles all the natural language processing, knowledge retrieval, and natural language generation, and then hands off the final text to a text to speech system (TTS). In parallel, we built a number of internal tools and workflows that enabled our knowledge engineers to define complex knowledge representation via a proprietary ontology and ingested billions of facts to build one of the most comprehensive knowledge graphs (KG) in the world. Additionally, we made some of this technology available to customers through Alexa's Structured Knowledge Skills offering. Amazon 2018 shareholder letter: "Last year, we improved Alexa’s ability to understand requests and answer questions by more than 20%, while adding billions of facts to make Alexa more knowledgeable than ever."

  • Advisory Board

    2016 - 2019