Adam Nagy is a director-level engineer with eight years of experience blending blockchain, machine learning, and energy systems to build data-driven, sustainable solutions. He has led blockchain strategy and engineering at Energy Web and now directs Moon Soon Labs, applying his background in energy forecasting, RL-based building control, and distributed systems to real-world markets. Comfortable bridging research and product, he’s implemented PV and consumption forecasting, home battery simulation, and blockchain use cases for grid applications. An avid open-source maintainer (admin at Energy Web’s GitHub) and lifelong learner, he pursues pet app projects and new skills through online courses. Based in Portugal, he pairs nature-minded pastimes like hiking and biking with practical crypto trading experience and a knack for turning complex energy problems into deployable software. Notably, his academic and industry path spans KU Leuven, KTH and hands-on research in crowdsensing and mobile urban apps, reflecting both breadth and execution focus.
8 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.) Energy Engineering, Master of Science (M.Sc.) Energy Engineering at KU Leuven
Master of Science (M.Sc.) Energy Innovation, Master of Science (M.Sc.) Energy Innovation at KTH Royal Institute of Technology
Bachelor of Science (B.Sc.) Electrical Electronics and Communications Engineering, Bachelor of Science (B.Sc.) Electrical Electronics and Communications Engineering at Budapest University of Technology and Economics
Contributions:1 release, 28 commits, 8 PRs in 10 months
chainjson-generatorjsongenesis
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