Mark Fischinger
About Mark Fischinger
Mark Fischinger is an incoming software developer with experience in quantitative analysis and software engineering. He has worked on various projects involving machine learning, 3D modeling, and statistical analysis, and is currently engaged in enhancing the mlpack library during Google Summer of Code 2024.
Work at Google Summer of Code
Mark Fischinger is currently engaged as an Incoming Software Developer at Google Summer of Code since 2024. He was selected from a pool of 43,984 applicants across 172 countries, highlighting his competitive selection. During this program, he aims to enhance the mlpack library by focusing on runtime and memory optimizations for various algorithms implemented in C++. Additionally, he plans to improve efficiency in Neural Networks by refining convolution operations and applying post-training quantization.
Education and Expertise
Mark Fischinger completed his education at Eichendorffschule Kelkheim, where he achieved his Abitur from 2016 to 2024. His academic background includes a strong focus on software development and analytical skills. He is currently working as a Scientific Assistant at Hochschule Darmstadt, where he has been involved since 2021. His expertise encompasses visual computing, machine learning, and statistical analysis.
Background in Quantitative Analysis
Mark Fischinger worked as a Quantitative Analyst Intern at TaurulusCapital from 2021 to 2022 for eight months in Amsterdam, Netherlands. This role involved remote work and provided him with experience in quantitative analysis. He also contributed to 3D modeling projects during an internship at a local startup, impacting product design and functionality.
Experience as a Software Engineer Intern
Mark Fischinger served as a Software Engineer Intern at CONFLY from 2022 to 2023 for one year in County Dublin, Ireland. This remote position allowed him to further develop his software engineering skills. Additionally, he assisted a master's student with statistical analysis and data preparation during a student program in Darmstadt, showcasing his collaborative skills in academic settings.
Research and Development Projects
Mark Fischinger is involved in a PhD project that integrates visual computing and machine learning with veterinary science. His current research interests include enhancing KMeans performance through increased parallelization using OpenMP and reorganizing code to reduce binary size. He is also interested in leveraging his skills to contribute to innovations in quantum computing.