Kendric Hood is a PhD candidate and research intern with eight years of engineering experience bridging distributed systems, neuromorphic computing, and applied AI. He has led research at national labs and universities—producing publications on AI-driven monitoring for manufacturing and on using neuromorphic hardware to secure power grids—while advancing training and performance of spiking neural networks. Proficient in C++, Python, Ruby and DevOps tooling, he has built large-scale simulators and production-ready tools, including a 20k-line blockchain simulator and manufacturing ML and scheduling apps. Kendric combines hands-on systems programming with practical deployment experience in research and industrial settings, routinely moving prototypes into working testbeds. Based in Kent, Ohio, he brings a rare mix of low-level implementation skill and cutting-edge AI research, with a focus on fault-tolerance and time-sensitive sensor data.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Kent State University
Trade Schools, Computer Systems Networking and Telecommunications, A, Trade Schools, Computer Systems Networking and Telecommunications, A at Cuyahoga Valley Career Center
This is the implementation of smart shards. It is built with two parts a manger and a consensus algorithm. We use the implementation of PBFT in the sawtooth project. Our manager will organize PBFT into smart shards.
Contributions:1 review, 2 PRs, 96 pushes in 2 years 1 month
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Kendric Hood - PhD Research Intern at Kent State University