24+ years building quality, security, and platform engineering functions in cybersecurity — from kernel drivers to cloud-native microservices, from threat modelling to AI governance.
My career has a single throughline: measurement-first thinking applied to complex security systems. It started at IIT Delhi, where my M.Tech. project used GSOM neural networks to statistically prove that malicious network traffic is inherently separable from normal traffic — an early exercise in finding signal in noise that shaped everything that followed.
Across McAfee, FireEye, Attivo Networks, and SentinelOne, I've built quality engineering functions from scratch, owned release management, run AppSec programmes, and driven cloud-native migrations. I've shipped kernel-level security products, built efficacy labs running millions of malware samples, and led the architectural shift from monolith to true cloud-native SaaS.
I think about quality not as a gate at the end of development, but as a layered discipline spanning infrastructure, security, automation, and delivery velocity. The frameworks I build outlast me.
Today I'm focused at the intersection of AI governance and cybersecurity — ISO 42001 Lead Auditor certified, exploring multi-agent AI systems, and applying LLM-based approaches to dynamic test generation and automation failure analysis.