Summary
Akarsh Kumar is a PhD candidate and software engineer with a decade of experience building ML and software systems, currently seeking full-time SWE or ML roles. He combines strong academic rigor from UT Austin with hands-on research that produced novel models like MLP-Shaker and a genetic algorithm for adaptive mutation rates, plus a CV motion-capture method used in fMRI neuroscience studies. His work spans production backend engineering (Django/Python) and cutting-edge research published and presented at venues including CVPR workshops. Known for bridging theory and application, he has driven projects from algorithm design to deployable systems and authored first-author papers. Based in Irving, Texas, he is motivated by understanding intelligence and develops broadly applicable architectures rather than niche solutions.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering and Physics, Major GPA: 3.97, Overall GPA: 3.95, Bachelor of Science - BS, Computer Engineering and Physics, Major GPA: 3.97, Overall GPA: 3.95 at Cockrell School of Engineering, The University of Texas at Austin
High School Diploma, Physics, Computer Science, and Math, GPA: 4.23, High School Diploma, Physics, Computer Science, and Math, GPA: 4.23 at Arkansas School for Mathematics, Sciences, and the Arts