Question 1

Who is Rajas Bhagat?

Accepted Answer

Rajas Bhagat is an AI Deployment Engineer, Forward Deployed Engineer, and AI Product Manager based in Barcelona. He scopes ambiguous AI opportunities, builds RAG and agentic workflows, designs evaluation frameworks, deploys production AI systems, and turns field learning into product strategy. He is an MBA candidate at IESE Business School with prior experience at Sprinklr, WebEngage, and Deloitte.

Question 2

What roles is Rajas Bhagat a fit for?

Accepted Answer

Rajas is a strong fit for AI Deployment Engineer, Forward Deployed Engineer, Applied AI Engineer, Solutions Architect (Applied AI), AI Product Manager, and Product Manager roles that combine customer-facing technical work with product strategy.

Question 3

What can Rajas Bhagat build with AI and agentic workflows?

Accepted Answer

Rajas builds RAG pipelines, multi-agent and agentic workflows, GenAI features, evaluation harnesses for LLM behavior and retrieval quality, and production deployments on cloud infrastructure. Example projects include Learning RAG, Socratoys (voice AI), Mettis AI (world-model analytics), and a competitive intelligence agent.

Sprinklr Self-Serve — Onboarding & Growth Plan