Aditya K.

Anchorage, United States · Prev. Security Engineer Intern @Tesla | Prev. DFIR Intern @Palo Alto Networks (Unit-42) |Cybersecurity Grad student @Duke University |Security Researcher| CEH |Security + |PCCET |AZ-500

Duke University Pratt School of Engineering

About

I'm a cybersecurity engineer and researcher pursuing my Master of Engineering in Cybersecurity at Duke University (Class of 2026), specializing in AI-driven threat detection, digital forensics, and quantum-resilient security architectures. My technical journey spans advanced anomaly detection systems, next-generation EDR development, and quantum-secure cryptographic frameworks work that has led to multiple patent applications through Duke's Office of Technology Commercialization. I combine practical engineering with research-driven innovation to build defensive systems capable of countering sophisticated, evolving threats. Experience & Impact

Digital Forensics & Incident Response Intern at Palo Alto Networks Unit-42, supporting threat intelligence analysis, malware triage, and enterprise-scale incident response for Fortune 500 environments; contributed to adversarial TTP mapping, timeline reconstruction with KAPE, Velociraptor, and Timeline Explorer, and automated threat hunting pipelines; participated in DPKR matters and Microsoft 365 BEC cases, followed by developing agentic AI workflows for IR augmentation. As a Threat Intelligence Research Assistant at Duke's Cyber Education program, I developed machine learning models for behavioral anomaly detection, designed YARA rules for malware classification, and built federated learning architectures for privacy-preserving threat analysis.​ Technical Expertise

Core Skills: Python, PowerShell, Wireshark, EDR/XDR platforms, SIEM analytics, network forensics, malware reverse engineering, AI/ML security, quantum cryptography

Certifications: CompTIA Security+, Microsoft AZ-500, CEH, Palo Alto Networks Certified Cybersecurity Technician, Google Cybersecurity professional

Research Focus: Quantum-resistant AI for cryptographic network security, autonomous threat detection, SAST/DAST integration for DevSecOps​ Recent Work

I recently presented at ***Triangle InfoSeCon 2025***, the Southeast's premier cybersecurity conference, on quantum-secure defense architectures and AI-driven anomaly modeling. My research addresses the intersection of post-quantum cryptography and real-time threat intelligence—building systems that remain resilient against both classical and quantum adversarial capabilities.​ I'm actively exploring opportunities in DFIR, security research, threat intelligence, and defensive architecture engineering where I can apply deep technical expertise to solve high-impact problems. Open to collaborations on cutting-edge security innovations, patent development, and open-source defensive tooling.

Experience

  • Security Engineer Intern

    Tesla

    Jan 2026 — Present

    Fremont, California, United States

  • Digital Forensics and Incident Response

    Palo Alto Networks Unit 42

    May 2025 — Aug 2025

    Reston, Virginia, United States

  • Threat Intelligence Research Assistant

    Cyber Education at Duke

    Feb 2024 — Feb 2025

    Durham, North Carolina, United States

4 experiences in total

Education

  • Duke University Pratt School of Engineering

    Master of Engineering - MEng, Cybersecurity

    Jan 2024 — Jan 2026

  • Gayatri Vidya Parishad College of Engineering (Autonomous)

    Bachelor's degree, Electrical, Electronics and Communications Engineering

    Jan 2019 — Jan 2023

View Aditya K.'s profile on Cyberr