Ryan Emmick
Investment Principal at Fundamental Labs
Greater Owensboro Area
Overview
Work Experience
Founder / CEO
2020 - Current
Designed and deployed an algorithmic trading system spanning Ethereum-based decentralized exchanges and centralized platforms, leveraging 20+ real-time data sources. Produced comprehensive technical documentation and testing to streamline deployment and operational integration for new trading strategies, and simplify system maintenance and upgrades. Reduced the burden from days to hours to deploy new strategies. Developed a containerized microservice architecture using Docker and Kubernetes that enabled rapid iteration and seamless scaling of trading algorithms.
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.
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