Amiya Maji
Sr. Computational Scientist
West Lafayette, Indiana, United States
Summary
👤
Senior🎓
Top SchoolAmiya 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.
8 years of coding experience
6 years of employment as a software developer
Ph.D., Computer Engineering, Ph.D., Computer Engineering at Purdue UniversityMaster of Science, Computer Science and Engineering, Master of Science, Computer Science and Engineering at IIT KharagpurBachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at Indian Institute of Technology, Kharagpur
Github Skills (30)
stable10
python10
linux10
version-control10
versioning10
configurations10
multiple-versions9
hpc9
windows9
scientific-computing9
macos9
package-manager9
build-tools8
git8
requirements-management8
Programming languages (4)
Github contributions (5)
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
pythonpackage-installationpypipipinstallation
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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