At Whizhack Technologies, I built Python-based attack simulators for Siemens S7-200 PLCs, generating synthetic adversarial data for behavioral anomaly-detection models in OT environments. I also analyzed network traffic, communication protocols, and MITRE ATT&CK mappings to shape detection requirements.
As a DevOps Intern at Whizhack Technologies, I researched cyberattack vectors, analyzed ETL pipeline architecture, and ran isolated offensive-security simulations to generate telemetry for detection-model development.
At Bennett University, I supported research on AI in medical imaging and built a single-image prediction module for the project's CNN architecture. In my projects, I developed an adaptive LLM inference gateway with request telemetry and an observability dashboard, and reconstructed an APT kill chain from correlated security telemetry.
