Sachin Laddha

About Sachin Laddha

Twenty-six years in enterprise infrastructure leaves you with a particular kind of clarity about what actually matters when systems fail at scale — and what doesn\'t.At Cohesity, I lead architecture for the Helios control plane — a multi-tenant SaaS platform where design decisions directly affect how enterprises detect, contain, and recover from cyberattacks and infrastructure failures. That work is what I\'d call AI resilience architecture: building systems that don\'t just survive failure, but reason about it.My career has been built on the full stack of enterprise resilience — distributed control planes, cloud-native SaaS, identity and access architecture, and heterogeneous virtual environment backup (US patent). The common thread has always been: what happens when things go wrong at scale, and how do you build infrastructure that holds.The past few years have been a deliberate deepening toward applied AI. My M.Tech research at BITS Pilani focused on Graph Neural Networks for backup recovery systems — modelling how failure propagates across distributed infrastructure so recovery becomes predictive rather than reactive. That research sits at the intersection of two problems I\'ve spent my career working on.I\'m interested in hard problems at the intersection of enterprise infrastructure, AI, and cyber resilience.

Experience

1. Senior Staff Engineer

   Cohesity

   Oct 2025 — Present

Education

• Savitribai Phule Pune University

  MCS, Computer Science