Adam Balogh is a software engineer and technology executive who specializes in artificial intelligence and distributed systems. He is the co-founder and Chief Technology Officer (CTO) of OpenGradient. Previously, Balogh was a Tech Lead at Palantir Technologies, where he contributed to the company's data infrastructure and AI platforms. [1] [2]
Balogh obtained a Bachelor of Science in Computer Science from the University of Manchester. He continued his education at Imperial College London, where he earned a Master of Science in Advanced Computing. [2]
Balogh's career in software engineering began with internships at major technology companies. In 2015, he was a software engineering intern at Google, followed by a similar internship at Amazon in 2016, where he worked on engineering projects within large-scale technology environments. In 2017, Balogh joined Palantir Technologies as a software engineer based in the company's London office. In this role, he contributed to the development of distributed systems for data processing and analytics. He later relocated to New York and was promoted to Tech Lead in 2023. As a Tech Lead, his work focused on Palantir’s Artificial Intelligence Platform (AIP). This included research and development of frameworks for autonomous agents and building infrastructure for applications powered by large language models (LLMs). In March 2024, Balogh co-founded OpenGradient, assuming the role of Chief Technology Officer. At OpenGradient, his work centers on developing infrastructure for artificial intelligence systems and network-based architectures. [2]
In a fireside chat at BUIDL Europe in February 2026, Balogh and Illia Polosukhin (NEAR) discussed their visions of an "agentic internet," where users delegate tasks to autonomous digital agents rather than navigating the web themselves. Balogh described his transition into the AI agent space, highlighting his experience at Palantir, where he helped integrate AI into various products. Polosukhin emphasized the evolution from simple AI software to fully autonomous agents capable of pursuing goals independently, raising significant questions about governance, privacy, and verification. Both co-founders envisioned a future in which agents would not only manage mundane tasks but also create personalized experiences and assist users in achieving their goals, thereby transitioning towards a more mission-driven society. They expressed concerns about control, security, and privacy issues with these agents, advocating for user-owned data and verifiability to maintain trust in this evolving ecosystem. As they explored potential advancements in user interfaces and AI capabilities, they acknowledged the challenges posed by centralized models and the need for innovative, decentralized structures to enhance these technologies. [3]