hi! i'm aaditya rengarajan — cybersecurity/ai researcher & engineer and incoming ms cybersecurity grad at nyu. my work sits at the crossroads of offensive security, agentic ai, and automation-first systems design.
over the past few years, i’ve contributed to a mix of gov-grade threat intelligence platforms, large-scale system automation tools, and privacy-preserving ml pipelines. alongside that, i’ve led cybersecurity education initiatives training over 500+ learners in real-world offensive security and python for cyber ops.
(6m) intel corporation – worked on automating operations research tasks within intel foundry using ml and deep rl; also designed an agentic ai framework architecture for internal workflows
(2m) indian space research organization – modeled a new cyber threat intelligence framework using stix/taxii protocols and visualized ioc-based threats using graph analytics
(3y) tactical cyberange simulations – developed a modular, extensible framework that aggregates and orchestrates offensive security tools for red-teamers; focused heavily on system design and architecture
(1m+) equate petrochemical company – built a phishing trace-back tool and org-wide recon dashboard including dns mapping, device exposure tracking, and employee breach visibility
(6m) information sharing and analysis center (isac) – built dark web monitoring systems and base IT systems
a framework for dynamic, privacy-preserving network defense that leverages federated learning and encrypted model updates to adapt to emerging threats in real time.
federated learningprivacy-preservationencrypted model updatesadaptive firewalls