Manish Bhattarai
Staff Scientist 3 at Los Alamos National Laboratory
Albuquerque, New Mexico, United States
Summary
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Senior🎓
Top SchoolManish Bhattarai is a Staff Scientist at Los Alamos National Laboratory with eight years of experience translating deep learning research into high-performance, scalable solutions for scientific data. He specializes in HPC-enabled machine learning, distributed matrix and tensor factorization, and accelerating deep learning frameworks via tensor decomposition, with applications spanning computational imaging, computer vision, and probabilistic modeling. A PhD in Electrical and Computer Engineering from UNM, he has a strong track record from graduate research to successive staff roles at LANL, combining hands-on algorithm development with production-minded optimization on large-scale systems. Beyond core research, he founded a nonprofit in Nepal focused on tech education and practical automation for hospitals and transit, reflecting a pragmatic commitment to social impact. Notably, his background bridges classical signal-processing approaches and modern reinforcement and deep learning methods, enabling innovative cross-disciplinary solutions for big-data inference.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.99/4, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.99/4 at The University of New MexicoBachelor's degree, electronics and communication, Bachelor's degree, electronics and communication at Department of electronics and communication engineering+2, Science, +2, Science at Birat Science Campus
English, Hindi, Nepali
Github Skills (9)
factorization9
clustering-algorithm9
matrix-factorization8
clustering8
python7
matrix7
machine-learning5
tensorflow3
tensor1
Programming languages (2)
Github contributions (5)
lanl/pyDNMFk
Apr 2021 - Dec 2021
Python Distributed Non Negative Matrix Factorization with custom clustering
Contributions:3 releases, 1 review, 93 commits in 8 months
pythonfactorizationnon-negative-matrix-factorizationmachine-learningmatrix-factorization
lanl/pyDNTNK
Jun 2021 - Oct 2021
Python Distributed Non Negative Tensor Networks
Contributions:2 releases, 9 commits, 1 PR in 4 months
pythonmachine-learningtensor-networkstensortensorflow
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