Week 1 — System understanding
Deep dive into your current architecture, workflows, and constraints. Identify bottlenecks, risks, and opportunities for simplification.
Official site of Arun Kiran Patro
Arun Kiran Patro
Principal Engineer | Legacy Modernization Consultant
Legacy systems do not need rewrites. They need the right architecture.
I help companies turn complex legacy systems into scalable, AI-ready platforms.
I'm Arun Kiran Patro, a Principal Engineer with 15+ years at Oracle Cloud and PayPal. I work hands-on with teams to modernize systems, simplify architecture, and deliver measurable business impact without unnecessary rewrites through LegacyToAI.
Legacy System
API Layer
AI Logic
Modern UI
- Recovered $800K per week in transaction volume.
- Reduced customer support handling time at global scale.
- Built enterprise platforms used across multiple teams.
Delivery model
A focused 4-week engagement
Weeks 2–3 — Execution
Hands-on development, refactoring, or architecture improvements. Includes iterative testing and validation to ensure safe changes.
Week 4 — Deployment and review
Production rollout, validation, and final refinements. Includes knowledge transfer and next-step recommendations.
Trusted experience across high-scale systems
Oracle CloudPayPal15+ Years ExperiencePatent Holder (GraphQL Platform)
The problem
Most systems are not broken. They are just hard to evolve.
- Legacy systems that no one fully understands.
- Low-code platforms creating long-term lock-in.
- Frontend layers that slow down every new feature.
- Data scattered across too many services.
- Teams spending more time debugging than building.
You do not need a rewrite. You need clarity, structure, and the right architecture decisions.
Services
What I help with
Modernizing legacy systems
Transform monoliths and fragmented systems into cleaner, maintainable architectures without defaulting to a rewrite.
Frontend architecture and platform design
Build scalable React-based systems, micro-frontends, and UI foundations that support long-term delivery.
API and orchestration layers
Unify data across services with GraphQL and structured backend layers that reduce fragmentation.
Performance and reliability
Improve system stability, observability, and developer velocity so teams can ship with more confidence.
AI-ready foundations
Prepare systems so AI can add real value instead of sitting as a thin layer on top of bad architecture.
Selected work
Real engineering impact
Reducing customer support cost at global scale
Redesigned CRM workflows and dashboards to reduce handling time across more than 200K daily calls and improve agent efficiency.
Impact
Outcome: Lower handling time and lower support cost.
Unlocking high-value payments at PayPal
Led a cross-platform compliance initiative that helped recover about $800K per week in transaction volume.
Impact
Outcome: Faster approvals and measurable revenue recovery.
Enterprise platform architecture at Oracle
Built cloud-native UI architecture for an Access Governance platform used across global teams with strong product feedback.
Impact
Outcome: Stronger platform UX and a more scalable foundation.
Principles
How I think about systems
Control
Open architecture over vendor lock-in
You should control your system, not be constrained by the tools around it.
Simplicity
Simplicity over unnecessary complexity
Most internal systems do not need distributed over-engineering to be effective.
Delivery
Execution over theory
Architecture matters only when it improves delivery, reliability, and business outcomes.
AI
AI as an enabler, not a layer
AI should reduce effort and cost, not add noise on top of fragile systems.
Next step
If your system feels slow, fragile, or hard to scale, it is fixable.
You do not need a rewrite. You need the right architectural decisions.