Summary
Justin Pauckert is a Solutions Architect in Berlin with eight years of experience translating mathematical rigor into practical quantum and hybrid optimization solutions. With a master's in mathematics from TU Berlin, he has moved from data science and software development into applied quantum computing roles—most recently designing customer-focused quantum workflows at D-Wave after leading QC assessments, PoCs, and workshops at T-Systems. His work includes research contributions that improved QUBO encoding speed and solvability and a novel metaheuristic combination published at GECCO, showing a strong track record of turning research into measurable performance gains. Comfortable across Python, SQL, and deployment tooling, he bridges academic insight and production constraints to solve vehicle routing, scheduling, and other complex optimization challenges. Notably, he pairs hands-on implementation with stakeholder-facing skills, regularly delivering keynotes and enabling partners to adopt quantum-enabled approaches.
8 years of coding experience
6 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at Technische Universität Berlin