387labs
Ned Lomigora has a diverse work experience history. Ned is the founder of 387 Labs, a company they started in June 2021. In 2022, they became the founder and managing partner of Falcon Venture Partners, a role they currently hold. Ned was also the CEO of Infinity Mesh, a position they held since September 2016. Before that, Ned was the CEO and founder of Cape Ann Development Partners starting from July 2013. Ned served as a board member and technology chair of MIT Enterprise Forum of New York City starting from October 2019. Ned also served as a strategic advisor for Bosnia & Herzegovina Futures Foundation from December 2020 to March 2023. Ned co-founded and was the CEO of Zeeen, a promotional platform for authors and publishers, from April 2011 to June 2013. Ned was the sponsorship chair for MIT Club of Boston from September 2011 to September 2012. Prior to that, they held the roles of VP Corporate Development and Managing Director at DENS Partners, Inc. from January 2009 to March 2011. Lastly, Ned worked at Mercury Systems where they held various roles, including Head of Operations/Finance at SolMap Pharmaceuticals (a Mercury spinoff acquired by Forma Therapeutics) from July 2006 to December 2008. Ned also served as the Operations Manager at Mercury Systems from an unspecified start date to June 2006.
Ned Lomigora has a Bachelor of Science degree in Mechanical Engineering from the Illinois Institute of Technology, which they completed in 2.5 years on a full merit scholarship. Ned also holds a Master's degree in Mechanical Engineering from the Massachusetts Institute of Technology, which they completed in 1.5 years on a full merit scholarship. Additionally, they have studied General Management, Finance, and Venture Capital at the MIT Sloan School of Management. Ned has also received a National Science Foundation Fellowship in Mechanical Engineering from Penn State University.
This person is not in any teams
387labs
387labs is on a mission to increase adoption of Artificial Intelligence. We are partnering with visionary companies to make AI available to masses, while helping clients achieve high ROI from their AI investments. We are hands-on, pragmatic, down-to-earth, problem solvers who value common sense solutions. Our global engineering team consisting of data scientists, machine learning engineers, data engineers and DevOps engineers, as well as external experts in AI and machine learning always strive to increase number of successful machine learning models in production. Team excels at scalable model serving, model lifecycle management, A/B testing AI solutions, CI/CD, and continuous training (CT), none of which are trivial. Our clients include premium Future 500 companies including the one valued in trillions, start-ups in process automation field, hedge funds, and consumer goods conglomerates. We adopt well to client's existing processes and actively propose original ideas and solutions to clients for their approval.