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Leadership · Team lead

Jagdish Parmar

AI Security & DevOps Engineer — AI Security, Cloud Infrastructure & Observability

Makes sure AI systems are safe to run and stay up once they do. Puts authentication, authorization, and a permission layer between agents and every tool, defends against prompt injection and data leakage, and runs the cloud underneath — AWS, containers, CI/CD, and the tracing and alerts that show what every agent did.

Best forSecuring AI agents and LLM apps, and building and running the cloud infrastructure, pipelines, and monitoring behind them.

01

Expertise

What Jagdish works in day to day.

AI security

  • Prompt injection defence
  • Data leakage prevention
  • Agent permission levels
  • Tool permissions
  • Audit logging

Application security

  • OAuth / JWT
  • RBAC / ABAC
  • Secrets management
  • Tenant isolation
  • Encryption

Cloud & DevOps

  • AWS
  • Docker
  • ECS / Fargate
  • Lambda
  • GitLab CI/CD

Observability

  • CloudWatch
  • OpenTelemetry
  • Tracing & alerts
  • Cost monitoring
  • Incident response
02

Typical engagements

The projects Jagdish leads for our clients.

  1. 01AI security reviews
  2. 02Agent permission layers
  3. 03Cloud infrastructure on AWS
  4. 04CI/CD pipelines
  5. 05Production monitoring & alerting
  6. 06Infrastructure cost reduction
  7. 07Platform migrations to AWS
  8. 08Incident response setup
03

Leadership

One team, six specialisms.

Every project gets the right lead for each part — solution architecture, agents and ML, automation and data, security and cloud, product and engineering, and delivery.

Meet the whole team
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