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Filip Kozera is a highly experienced software engineer and entrepreneur, best known as the Co-founder and former CEO (and key technical architect) of Golem Network, a pioneering project in decentralized computing. With a strong background in software architecture, distributed systems, Python, and blockchain technology, Filip was instrumental in shaping Golem's vision and development from its inception around 2016. He is passionate about building open-source solutions and contributing to the Web3 ecosystem, focusing on creating platforms that empower users and developers by leveraging peer-to-peer networks. His work demonstrates a deep understanding of complex computational problems and the potential of decentralized infrastructure.
Filip Kozera's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully co-founded Golem Network, one of the early and prominent projects aiming to create a global, open-source, decentralized marketplace for computing power. Led the company as CEO through its initial coin offering (ICO) in 2016, product development phases, and established it as a key player in the decentralized computing space.
Played a significant role in architecting and advancing the Golem Network, contributing to the practical application of decentralized technologies for real-world computational tasks. His leadership helped push the boundaries of what's possible with peer-to-peer networks for shared resources.
Consistently championed open-source principles and the potential of Web3 technologies. Through his work and public engagement, he has contributed to the broader understanding and adoption of decentralized systems.
Y Combinator - Year 2024
University of Cambridge - Year 2014
Bedford School - Year 2012
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Wordware is an AI-native development platform designed for engineers to rapidly build, deploy, and iterate on complex AI agents and AI-powered user interfaces. It simplifies the integration of Large Language Models (LLMs) by providing a visual interface for prompt engineering, backend logic creation, and UI component integration. Users can easily chain LLM calls, manage state, connect to data sources, and deploy their AI applications without getting bogged down in boilerplate code or complex infrastructure, allowing them to focus on creating innovative AI-driven solutions.
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