Start with the workflow.
Name the repeated work and the business consequence before choosing a model.
About Velug
An independent practice for the work between a promising prototype and a reliable operating system.
You work directly with Pranav Reddy—from workflow mapping and control design through implementation, integration, and evaluation.
The model is only one part of the system.
Useful AI has to work with real documents, records, permissions, business rules, review queues, and existing software. Velug builds that complete path around one operational constraint at a time.
Pranav's background spans fund-administration operations and applied AI engineering. That combination shapes a practical approach: understand how the work actually moves, keep consequential decisions controlled, and test the system against cases it will face in production.
How the work is approached
Keep authority clear.
Existing systems, permissions, rules, and accountable people stay in charge.
Evaluate the whole system.
Test sources, outputs, actions, and failure paths—not just a polished response.
Talk directly
Tell me where the work gets stuck.
A short description of the workflow is enough to begin.
pranav@velug.ai