RE

Ryan Emmick

Investment Principal at Fundamental Labs

Austin, Texas

Overview 

Ryan Emmick, based in Austin, Texas, boasts deep investment management and engineering experience, having held roles such as Investment Principal at Fundamental Labs and Founder/CEO at Magic Internet. With a background in blockchain, cryptocurrency, and data analysis, Ryan has made significant contributions to the Web3/Blockchain sector, currently serving in a high-level position leveraging his expertise in these areas.

Work Experience 

  • Investment Principal

    2021 - 2022

    Worked with a partner to build out a US venture capital investment team. Allocated $50M+ into Seed/Series A businesses. Collaborated with portfolio companies on strategy and provided them with the resources to be successful. Continuously conducted industry research and worked with peers to refine investment strategy and decision-making

  • Integration Engineer

    2020 - 2021

    Contributed to integration development for ETH L2 chains, including Optimism Assisted clients in architecting systems to utilize Chainlink price feeds Created a data provider analysis and monitoring system to enhance the quality and stability of Chainlink's data Analyzed flaws and failures of competing oracle systems to persuade potential clients to use Chainlink

Chainlink Labs provides open-source blockchain oracle solutions and specializes in the development and integration of chainlink.

Raised $32,000,000.00 from Nirvana Capital.

  • Founder / CEO

    2020 - 2021

    Developed and operated a generalized arbitrage agent to win opportunities on the Ethereum blockchain and centralized exchanges.

  • Blockchain Engineer

    2017 - 2020

    Developed and maintained a cross-exchange trade execution / order management system to minimize the cost and market impact of trades while also handling the poor infrastructure of the nascent industry Deployed a blockchain monitoring, tracking, and alert system across multiple blockchain networks Worked with portfolio teams conducting technical due diligence Created a streaming data pipeline using Airflow to clean and ingest data from blockchains, exchanges, social platforms, and alternative sources into a Bigquery data lake Researched and developed machine learning models using the data stream to generate fully quantitative trading strategies Designed and built an asset management and cold storage system to unite monitoring and trading across blockchains and centralized exchanges

Education 

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