Is the use case technically real?
Separate useful AI opportunities from ideas that look good in a demo but break down when they meet real data, workflows, integration constraints, latency, cost, or scale.
Independent AI Advisor
Pressure-test AI before you commit.
AI projects can get expensive long before they become useful.
I help business and technology leaders evaluate AI ideas before they commit to a platform, vendor, architecture, or larger implementation.
I’ve built production AI systems, not just advised on them.
The questions I help answer
Get clarity before the commitment gets expensive.
Should we build, buy, or partner?
Evaluate internal development, platforms, vendors, and open-source options based on capability, economics, integration effort, and long-term fit. Also consider where the workload should run across cloud, on-premises, or edge environments.
Can we run it safely?
Think through data exposure, access controls, AI security, governance, compliance, and the risks that emerge as AI moves into real workflows.
Will it hold up in production?
Look beyond the prototype to evaluation, observability, reliability, cost, integration, operational ownership, and the controls needed to run AI systems over time.
About
Hi, I’m Kalyan.
I’m an AI engineering leader with 18+ years of experience across applied AI, enterprise software, and cloud platforms.
I’ve built production AI systems, established AI engineering capabilities, and worked with teams on AI strategy, agentic systems, model evaluation, observability, security, economics, partner evaluation, and deployment decisions.
Proofnode is my independent practice for bringing that experience to difficult AI decisions before they become expensive commitments.
Start a conversation
Have an AI decision you want to pressure-test?
Maybe you’re evaluating a use case, vendor, agent platform, deployment approach, or an AI initiative that simply isn’t adding up. I’m happy to talk through it and offer an independent technical perspective.