I'm a junior at San Jose State University studying software engineering. I am interested in machine learning, cybersecurity, and full‑stack web development. I recently completed a Software Engineering Co‑Op at Cisco where I built a full‑stack web application for the Cisco hardware compliance team. I used Python Flask, MySQL, and JavaScript, with Nginx serving as a reverse proxy for improved security and scalability.
I have also published two research papers. In my first paper, I proposed a feedback‑loop system that incorporates high‑fidelity images generated by a diffusion model to enhance zero‑day malware dataset quality. This method showed a 15% improvement in zero‑day attack detection accuracy. My second paper utilizes AI agents to enhance the explainability of network‑based attacks and offers product recommendations and similar CVE vulnerabilities to aid with incident response. I used LangChain ReAct agents and RAG to build an up‑to‑date recommendation pipeline.
You can find all my publications on my Google Scholar profile.
| Title | GitHub Repo | Google Scholar |
|---|---|---|
| Synthetic Malware Generation Based on Generative Models Against Zero-Day Attacks | Repository | View Paper |
| A Real-time Multi-Agent Network Attack Detection and Incident Response System | Repository | View Paper |
I am actively looking for summer 2026 internships. If you think I may be a good fit, please reach out to me via email at:
arjunsudheer05@outlook.com