At University of Gdańsk (ICTQT), I built a dependency-free Python Monte Carlo framework to evaluate classical post-processing pipelines in BB84 Quantum Key Distribution. I modeled a partial intercept-resend adversary and used cryptographically secure entropy in the simulations.
I implemented Cascade and LDPC belief propagation reconciliation layers and benchmarked them across different raw-qubit block sizes. My analysis found 100% BP convergence for LDPC above 1,000 qubits and identified interactive round-trip latency bottlenecks in Cascade.
My work across reservoir engineering, product design, technical support, and teaching gives me experience applying quantitative analysis to engineering problems and explaining technical findings to different audiences.
