Scientific Software Developer
CurrentI focused on developing advanced data processing algorithms and applying them to large data sets to validate particle detector performance. A significant part of my work involved creating a novel C++ algorithm to correct errors in heavy-flavor jet reconstruction, drastically improving accuracy. Additionally, I developed a method for measurement uncertainty estimation, which, when integrated into constrained fits, enhanced signal vs. background separation.Key Achievements:Developed a C++ algorithm that improved signal vs. background separation.Created a measurement uncertainty estimation method that, when used in constrained fits, further improved separation.Integrated my algorithms into the iLCSoft software framework, now widely used by physicists globally.Presented research at international conferences and contributed to multiple scientific publications.Throughout my tenure, I became proficient in C++ programming, developing high-performance scientific software within the Marlin framework of the iLCSoft suite. My expertise includes using CMake for efficient build management and Git for version control. I created sophisticated algorithms for data reconstruction and measurement uncertainty estimation, significantly enhancing analysis accuracy.I utilized the NAF cluster for large-scale data processing and managed high-throughput computing tasks using HTCondor, ensuring seamless integration of my algorithms into the main software framework. This involved processing large data sets efficiently and effectively.My role required advanced data processing solutions and exceptional problem-solving skills, enabling me to pioneer methods for measurement uncertainty estimation. I collaborated in international teams, and presented research at global conferences, and my techniques are widely adopted and cited in the scientific community.