My name is Alaettin Serhan Mete. I have a Ph.D. in experimental particle physics and I am currently an Assistant Computational Scientist at Argonne National Laboratory. I am also a member of the ATLAS experiment at the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN) located near Geneva, Switzerland, where I do my research on the field of experimental high energy physics (HEP). For more than 10 years, I have been conducting scientific data analysis in a highly competitive and international environment. I performed a multitude of likelihood-based statistical analyses on a petabyte-scale dataset resulting in scientific publications. I implemented predictive modeling algorithms, tested and validated them using simulated and recorded data, developed expertise on optimization techniques, statistical tests, data-driven predictions, and Monte Carlo simulation. I managed teams of 5 to over 50 physicists and directly co-authored over 5 and contributed to more than 10 peer-reviewed journal publications. I also reviewed and scrutinized works of my colleagues to ensure accurate and high quality results. From a more technical perspective, I developed and maintained monitoring and data analysis software packages in multiple languages. I am proficient in C++ (10 years), Bash scripting (10 years), Python (5+ years), and Latex (5+ years), and have good knowledge on Java (1+ year), (No)SQL (1+ year), and R (1 year). I developed, contributed, and maintained large scale projects using subversion software (eg. svn, git). Recently I started getting more involved on the software activities of the ATLAS experiment where I am mainly responsible for ensuring that the cpu and memory usage of ATLAS jobs are compatible with the processing requirements and the production system constraints. This responsibility includes the development of, and the incorporation of existing, monitoring and diagnostic tools into the ATLAS software development and production environments, the development of generic techniques for performance optimization that can be applied to all ATLAS applications, and optimizations of the ATLAS software framework and services that apply such optimization techniques. If you are interested, you can find links to my GitHub and LinkedIn profiles on the navigation bar up top, as well as a direct link to my CV. Feel free to get in touch with me, I will be happy to hear about any great ideas and opportunities!!!