Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary
Repository
Continuously updated LaTeX resume
Basic Info
- Host: GitHub
- Owner: neeleshg23
- Language: TeX
- Default Branch: main
- Size: 283 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
autoCV
A clean CV template in LaTeX along with a GitHub action that complies the *.tex file and publishes a new PDF version when new changes are pushed to the repo
Template Design
The template is designed to be clean with sections for
- Tabular sections for Work Experience, Education and Projects
- Support for including a list of publications read from a *.bib file
- Header with Font Awesome icons
Quickstart
- Fork this repo (you can use the
Use this templatebutton) - Modify the
cv.texfile and push changes to your repo - The complied PDF will be available under the
buildbranch
Optionally, while forking this repo, you can get a direct link to the generated PDF which you can use on your website, LinkedIn etc. that will always point to the latest version of your CV. For this, after editing your copy of cv.tex and pushing changes to your repo, under Settings -> Pages set your Github Pages source to the build directory

Now, once your site is published, your CV will be accessible at: https://username.github.io/autoCV/cv.pdf
Detailed Instructions..
Issues
Please start a new discussion or issue if you encounter problems
Owner
- Name: Neel Gupta
- Login: neeleshg23
- Kind: user
- Location: Los Angeles, CA
- Repositories: 3
- Profile: https://github.com/neeleshg23
CS @ USC
Citation (citations.bib)
@inproceedings{gupta2023packd,
title={PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models},
author={\textbf{Neelesh Gupta} and Zhang, Pengmiao and Kannan, Rajgopal and Prasanna, Viktor K.},
booktitle={IEEE High Performance Efficient Computing (HPEC)},
year={2023},
month={September},
address={Boston, MA},
organization={IEEE},
email={neeleshg@usc.edu, pengmiao@usc.edu, prasanna@usc.edu, rajgopal.kannan.civ@army.mil},
}
@inproceedings{jayanth2024benchmarking,
title={Benchmarking Edge AI Platforms for High-Performance ML Inference},
author={Jayanth, Rakshith and \textbf{Neelesh Gupta} and Prasanna, Viktor K.},
booktitle={IEEE High Performance Efficient Computing (HPEC)},
year={2024},
month={September},
address={Boston, MA},
organization={IEEE},
email={jayanthr@usc.edu, neeleshg@usc.edu, prasanna@usc.edu},
}
@inproceedings{gupta2023tabconv,
title = {TabConv: Low-Computation CNN Inference via Table Lookups},
author = {\textbf{Neelesh Gupta} and Kannan, Narayanan and Zhang, Pengmiao and Prasanna, Viktor},
year = {2024},
doi = {10.1145/3649153.3649212},
booktitle = {Proceedings of the 21st ACM International Conference on Computing Frontiers},
series = {CF '24},
keywords = {convolutional neural network, table lookup, product quantization},
location = {Ischia, Italy},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
isbn = {9798400705977},
% url = {https://doi.org/10.1145/3649153.3649212},
numpages = {8}
}
@inproceedings{zhang2024attention,
title={Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching},
author={Pengmiao Zhang and \textbf{Neelesh Gupta} and Rajgopal Kannan and Viktor K. Prasanna},
booktitle={2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
year={2024},
pages={1-10},
address={San Francisco, CA, USA},
month={May 27-31},
eprint={2401.06362},
archivePrefix={arXiv},
primaryClass={cs.NE}
}
@article{zhang2025net2tab,
title = {Net2Tab: Neural Network to Tables for Data Prefetching},
author = {Zhang, Pengmiao and \textbf{Neelesh Gupta} and Kannan, Rajgopal and Prasanna, Viktor K.},
journal = {Journal of Parallel and Distributed Computing (JPDC)},
year = {2025},
note = {Manuscript under review},
}
@inproceedings{liu2022youtube,
title={Did your child get disturbed by an inappropriate advertisement on YouTube?},
author={Liu, Jeffrey and Tandon, Rajat and Durairaj, Uma and Guo, Jiani and Zahabizadeh, Spencer and Ilango, Sanjana and Tang, Jeremy and \textbf{Neelesh Gupta} and Zhou, Zoe and Mirkovic, Jelena},
booktitle={Proceedings of KDD Undergraduate Consortium},
series={KDD-UC '22},
year={2022},
month={October},
address={Washington, D.C.},
organization={ACM},
pages={},
email={{jliu5021,rajattan,uduraira,jennyguo,szahabiz,ilango,tangjere,neeleshg,zoez}@usc.edu, mirkovic@isi.edu}
}
GitHub Events
Total
- Push event: 6
Last Year
- Push event: 6
Dependencies
- actions/checkout v2 composite
- actions/download-artifact v2 composite
- actions/upload-artifact v2 composite
- dante-ev/latex-action latest composite
- peaceiris/actions-gh-pages v3 composite