Worked on the pasqal-io/Pulser repository to enhance quantum noise modeling by integrating DMM sigma noise into the Hamiltonian data model. This addition enabled the simulation of detuning fluctuations from the DMM channel, improving the realism of quantum computing experiments. The implementation involved refining the detuning logic, centering the noise distribution for better numerical stability, and ensuring robust test coverage for both the NoiseModel and HamiltonianData components. The work emphasized Python programming and noise modeling, with a focus on code maintainability through improved serialization, linting, and documentation. Collaboration and shared code ownership were central to the development process.