Krishna Prasad
AI + Enterprise Data Governance Aerospace / Defense / Space
I build AI and cloud platforms that turn messy enterprise reality into governed, auditable systems people actually trust.
AI-enabled complianceExport-control control planesCustomer 360 / MDMAPIs + events + lineageAzure / AWS / GCP
35+ years Boeing, FedEx, Merck, DellEMC 13+ years embedded in large aerospace orgs
My sweet spot: truth + control systems
- AI-enabled compliance and export-control solutions (cloud-based, control-plane style enforcement).
- Customer 360 / Master Data foundations: identity, authority, survivorship, governance.
- Enterprise integration patterns: APIs + events + lineage decoupled systems that stay consistent.
- I translate between rooms: deep architecture tradeoffs business outcomes (risk, cycle time, disputes, execution).
How I work
- I deliver the skateboard first something usable that earns buyin then iterate with real users and real governance.
- I keep platforms auditable by design: explicit contracts, lineage, access controls, and enforcement points.
Engagement formats
Rapid assessment (1–2 weeks)
Current-state map, failure modes, stakeholder constraints, and a staged plan that is executable.
Architecture + governance design (2–6 weeks)
Target architecture, control-plane approach, operating model, and who owns what made explicit.
Build sprint (4–12 weeks)
A real slice in production: instrumented, governed, and proving value before the big program spend.
A simple way to start
- Email me your context + constraints + what success means.
- I’ll reply with clarifying questions and a proposed first slice.
- If it’s a fit, we kick off with a short working session.