Summary
Edward Wertz is a Staff Engineer with a decade of experience building distributed systems and real-time analytics, currently helping grow the Hedera Hashgraph DLT and dApp ecosystem. He holds a PhD in Computer Science from Texas Tech, where he implemented a compiler translating the Modular Action Language ALM to SPARC, bridging formal action languages and answer set programming for planning and diagnostics. Previously he architected mission management and device-integration systems at L3Harris, and has taught courses from intro programming to automata theory, reflecting strong grounding in theory and pedagogy. Technically versatile and Java-centric, he also has practical experience in Python, C/C++, and NLP-driven architectures. Philosopher-minded about AI, he advocates hybrid systems that combine symbolic logic with statistical learning to ensure predictable, real-time behavior. Colleagues describe him as sharp, flexible, and collaborative—comfortable turning rigorous theory into production-ready software.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Texas Tech University
Discrete Mathematics and Computer Science Logic & CS, Discrete Mathematics and Computer Science Logic & CS at Carnegie Mellon University