Team

The deployment team behind LayeredAI.

Our team combines technical architecture, AI engineering, security, strategy, and client-facing execution to help enterprise teams move from AI concepts to production systems.

Ramgopal

Ramgopal

Co-Founder & CEO

University of Michigan

Leads enterprise relationships, deployment strategy, and business outcome alignment so AI programs are scoped around operational value from the start.

Executive discovery
Outcome framing
Deployment partnerships
Devansh

Devansh

Co-Founder & CTO

Purdue University

Owns technical architecture across AI applications, model integration, orchestration, evaluation, and production infrastructure.

System architecture
Model integration
Production engineering
Nishitha

Nishitha

Co-Founder & Head of Marketing & Growth

Purdue University

Shapes market positioning, buyer education, and client communication so enterprise teams understand the path from AI opportunity to deployment.

Enterprise messaging
Client growth
Go-to-market strategy
Raghuram

Raghuram

Lead AI Engineer

BITS Pilani & New York University

Leads AI engineering across retrieval, agents, model evaluation, workflow automation, and applied machine-learning systems.

RAG systems
Agent workflows
Evaluation design
Shivansh

Shivansh

Lead Security Software Engineer

Purdue University & New York University

Focuses on secure AI application design, access controls, auditability, deployment reliability, and enterprise risk reduction.

Security architecture
Access control
Reliable deployment
Pranav Rastogi

Pranav Rastogi

Head of Strategy

INSEAD

Guides deployment planning, partnership strategy, and enterprise operating models for clients moving AI from pilots into production.

Deployment strategy
Partnerships
Operating models

Work with the team

Start with a deployment readiness conversation.

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