Amiya Maji

Sr. Computational Scientist

West Lafayette, Indiana, United States
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Summary

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Senior
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Top School
Amiya Maji is a senior computational scientist with eight years focused on reliability, testing, and security of large-scale computing systems across HPC, cloud, and mobile environments. Based at Purdue University, he leads software build automation for Research Computing and collaborates with multidisciplinary researchers to streamline scientific workflows and operational testing. His background includes developing portable deep learning deployment tools for clusters, GPU education, filesystem performance monitoring, and empirical studies of job failures and Android reliability. Holding a Ph.D. in Computer Engineering, he combines hands-on systems engineering with research rigor and a long-standing interest in dependability that spans both academic and production environments. Notably, he has bridged teaching, research, and infrastructure work—from setting up OpenStack/Cloudera for coursework to managing Intel Xeon-Phi stacks—demonstrating an uncommon blend of practical cluster operations and scholarly evaluation.
code8 years of coding experience
job6 years of employment as a software developer
bookPh.D., Computer Engineering, Ph.D., Computer Engineering at Purdue University
bookMaster of Science, Computer Science and Engineering, Master of Science, Computer Science and Engineering at IIT Kharagpur
bookBachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at Indian Institute of Technology, Kharagpur
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Github Skills (19)

stable10
linux10
versioning10
python9
hpc9
windows9
scientific-computing9
macos9
version-control9
build-tools8
git8
spack7
compiler7
fluid6
simulation6

Programming languages (4)

ShellC++HTMLPython

Github contributions (5)

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amaji/conda-env-mod

May 2020 - Jan 2023

A tool to alleviate your Python package installation worries.
Contributions:5 reviews, 17 commits, 9 PRs in 2 years 8 months
python
amaji/scc23-benchmarking

Sep 2023 - Nov 2023

Instructions for submitting the benchmark results for the student cluster competition at SC23
Contributions:2 reviews, 2 PRs, 55 pushes in 1 month
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