Akarsh Kumar

PhD Candidate

Irving, Texas, United States
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job4 years of employment as a software developer
bookBachelor 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
bookHigh 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
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Stackoverflow

Stats
367reputation
13kreached
0answers
21questions
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Github Skills (61)

proximal-policy-optimization10
python10
machine-learning10
numpy10
deep-learning10
gpu10
wandb10
neural-network10
actor-critic10
reinforcement-learning9
grasp9
c519
sac9
single-file9
gomoku9

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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akarshkumar0101/dotfiles

Jun 2020 - Aug 2024

Contributions:106 pushes, 1 branch in 4 years 3 months
Contributions:77 commits, 63 pushes, 1 branch in 2 years 2 months
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Akarsh Kumar - PhD Candidate