// EXPERIENCE

The race so far

From security operations and FedRAMP cloud security to owning an enterprise AI security program.

Jun 2026 — Present · Salt Lake City, UT Current

AI Security Engineer

MasterControl, Inc.

  • Own MasterControl's AI security program end-to-end — strategy to execution, including the AI Acceptable Use Policy and developer security training grounded in the OWASP LLM Top 10 and agentic AI risks.
  • Leading LiteLLM Enterprise gateway and Onyx guardrails deployment to secure LLM traffic across internal and customer-facing environments.
  • Enforcing AI governance org-wide via Netskope — blocking unauthorized AI tools, eliminating shadow AI and data exposure.
  • Led POCs on AI/MCP gateway and guardrails platforms to drive vendor selection and shape AI governance policy.
Feb 2025 — Jun 2026 · Salt Lake City, UT

Cloud Security Engineer

MasterControl, Inc.

  • Drove adoption of an AI guardrails platform to enforce policy-compliant AI usage and prevent prompt injection and data leakage.
  • Deployed Wiz Admission Controller to validate signed container images and enforce workload integrity in Kubernetes.
  • Built multi-agent security workflows in Claude Code to automate rapid risk assessments, code reviews, and vulnerability assessments — enabling org-wide self-service security reviews.
May 2024 — Dec 2024 · Boston, MA

Security Engineer Intern — Cloud Security & Vulnerability Management (FedRAMP)

MasterControl, Inc.

  • Conducted vulnerability assessments with Tenable and Wiz on AWS infrastructure to maintain FedRAMP compliance.
  • Owned Tenable and Wiz operations during FedRAMP and DISA STIG audits — passing all compliance checks without discrepancies.
  • Authored custom Wiz detection rules for malicious activity, improving asset visibility and accelerating incident response.
Jul 2023 — Dec 2023 · Boston, MA

Security Engineer Intern — Security Operations

MasterControl, Inc.

  • Deployed NIDS and honeypots within a FedRAMP environment to strengthen threat visibility and early detection.
  • Validated SIEM and CrowdStrike detection rules via adversary simulation, identifying coverage gaps and improving accuracy.
  • Built real-time Domo dashboards for executive security visibility, enabling data-driven decision-making.
May 2021 — Jul 2021 · Mumbai, India

Summer Intern

LTI — Larsen & Toubro Infotech

  • Designed real-time traffic analytics for India's Smart City Mission, enabling data-driven decisions for city authorities.
  • Built Python automation to process social media data streams, updating traffic congestion metrics hourly in SQLite.