📄 Published Research
DevSecMLOps: A Security Framework for Machine Learning Pipelines
DOI: 10.36227/techrxiv.175037181.12992346
@article{panchumarthi2025devsecmlops,
title={DevSecMLOps: A Security Framework for Machine Learning Pipelines},
author={Sritej Panchumarthi},
journal={TechRxiv},
year={2025},
doi={10.36227/techrxiv.175037181.12992346}
}
Embedding Security into Pipelines: A DevSecOps Blueprint
DOI: 10.36227/techrxiv.175022275.50175032
@article{panchumarthi2025devsecops,
title={Embedding Security into Pipelines: A DevSecOps Blueprint},
author={Sritej Panchumarthi},
journal={TechRxiv},
year={2025},
doi={10.36227/techrxiv.175022275.50175032}
}
Building an Artificial Intelligence Agent: A Step-by-Step Guide
DOI: 10.36227/techrxiv.175259542.24481408
@article{panchumarthi2025aiguide,
title={Building an Artificial Intelligence Agent: A Step-by-Step Guide for Entry-Level Engineers},
author={Sritej Panchumarthi},
journal={TechRxiv},
year={2025},
doi={10.36227/techrxiv.175259542.24481408}
}
AI Agents and the Future of Work
DOI: 10.36227/techrxiv.175321895.56143977
@article{panchumarthi2025futureai,
title={AI Agents and the Future of Work: A Strategic Overview for Software Engineers},
author={Sritej Panchumarthi},
journal={TechRxiv},
year={2025},
doi={10.36227/techrxiv.175321895.56143977}
}
A Comparative Evaluation of AI Coding Assistants
DOI: 10.36227/techrxiv.175321961.11008476
@article{panchumarthi2025aicoding,
title={A Comparative Evaluation of AI Coding Assistants: Performance, Limitations, and Use Cases},
author={Sritej Panchumarthi},
journal={TechRxiv},
year={2025},
doi={10.36227/techrxiv.175321961.11008476}
}