Jesse Mc Kinzie
About Jesse Mc Kinzie
Jesse McKinzie is a Software Engineer II at Axle Informatics, specializing in GPU acceleration for machine learning models. With a Master's degree in Computer Science from Johns Hopkins University and a background in Mathematics, McKinzie has contributed to both academic research and open-source projects.
Work at Axle Informatics
Jesse Mc Kinzie currently holds the position of Software Engineer II at Axle Informatics, a role he has been in since 2023. Prior to this, he worked at Axle Informatics as a Software Engineer from 2022 to 2023. His experience at the company also includes a position as a Data Science Trainee from 2021 to 2022. Throughout his time at Axle Informatics, he has contributed to various projects, focusing on software development and optimization.
Education and Expertise
Jesse Mc Kinzie earned a Master of Science in Computer Science with Honors from The Johns Hopkins University. He also holds a Bachelor of Science in Mathematics from the University of Wyoming. His educational background provides a strong foundation for his specialization in GPU acceleration for machine learning models and pipelines, emphasizing performance optimization for large datasets.
Background
Before joining Axle Informatics, Jesse Mc Kinzie worked as a Research Assistant at the University of Wyoming from 2019 to 2021. This role allowed him to engage in academic research, further developing his skills in computational methods. His experience in both academic and professional settings has shaped his approach to software engineering and data science.
Achievements
Jesse Mc Kinzie actively publishes research work on ResearchGate, reflecting his involvement in the academic and professional research communities. He also contributes to open-source projects and shares his work on GitHub, demonstrating his expertise in high-performance computing. His focus on modern C++ allows him to develop scalable applications, particularly in the context of biological research.