Bring vendor platforms in-house
Retire vendor middleware into company-owned services, checked against the legacy system for behavioral parity, with a repeatable process for absorbing vendor releases.
Platform engineering and AI delivery for enterprise teams
From legacy systems to AI-powered teams.
I partner with Fortune 500 enterprises on their most critical platforms. The work ranges from moving legacy and vendor-built systems onto cloud-native services, to scaling platforms that serve tens of millions of users and billion-dollar revenue channels, to setting teams up with AI delivery pipelines and knowledge bases that keep them shipping fast.
Industries served
- Global restaurant chain
- Retail
- Travel
- Insurance
- Transportation and logistics
- Marketing software
- Enterprise cloud
- Cloud security
- Social media and GenAI
Capabilities
Work that moves the business.
Legacy-to-cloud modernization
Move legacy and monolith systems onto cloud-native microservices with shadow testing, feature flags, live traffic rerouting, and zero-downtime data and schema migrations.
Platform architecture
Identity, data access, and orchestration platforms built to scale: control and management plane splits, unified SDKs, and versioned APIs other teams build on.
High-volume commerce
Fulfillment and ordering systems behind product pages, cart, and checkout, held to strict latency budgets and staffed through peak holiday sales.
Reliability and engineering standards
Production observability, deterministic integration tests, CI quality gates, and code review that catches security, scalability, and concurrency risks before they ship.
GenAI and data pipelines
GenAI services that brief leadership on live incidents, and pipelines that protect business-critical training data at billions of rows.
AI delivery
Agents that ship faster and build better.
Every engagement leaves the client team with the same AI delivery setup I use myself, tuned to their codebase and their tracker.
Delivery pipelines
Custom agent skills (Claude Code, Cursor, Codex), automation agents, and AI code review carry work from ticket to reviewed pull request.
Knowledge bases
A self-indexing knowledge base gives engineers and their agents shared, always-current team context. Agent output gets more accurate, and team knowledge becomes easy to find and share.
Team onboarding
A reusable setup stands up the knowledge base and the pipeline for each new team, so every team starts from the same working foundation.
Selected work
Recent engagements, by industry.
Clients stay confidential. The outcomes are real.
Industry
Engagement
Outcome
Travel
Migrated legacy .NET systems to Java microservices across infrastructure, DevOps, and cloud teams, and modernized XML partner integrations.
$10M revenue impact
Global restaurant chain
Architected and led the redesign of a global digital identity and accounts platform.
One account for tens of millions of users
Retail
Led architecture for omnichannel fulfillment that ships store and warehouse inventory together, across four engineering teams.
No split deliveries, decisions in 20 ms
Retail
Built a greenfield partner ordering service for a billion-dollar professional channel.
Partner orders automated end to end
Transportation and logistics
Moved a vendor-built terminal operating system in-house, replacing vendor middleware with company-owned microservices that match the legacy system’s behavior.
Platform owned and shipped in-house
Insurance
Delivered the quoting and policy-binding APIs that let external partners sell coverage, then used telemetry to find where quotes failed.
Higher quote conversion
Enterprise cloud
Re-architected a compute orchestration service into control and management planes, and built a GenAI incident briefing service.
Zero-downtime migrations
Marketing software
Unified access to core CRM and customer data behind one data access layer and client library.
One SDK across Java and .NET
Social media and GenAI
Owned pipelines that protect GenAI training datasets from retention-driven deletion, tested on 8-billion-row tables.
Under 2.5% data loss
Approach
How we work together.
-
Understand
Learn how your platform and your team work today, including the parts nobody wrote down.
-
Design
Agree on where the system should go and a plan that gets there in stages, with a way back at every step.
-
Build
Build alongside your team in small increments, with tests that prove each change before it ships.
-
Roll out
Release in stages so the business keeps running the whole time.
-
Evolve
Stay on as a long-term partner to maintain and improve the system, or leave your team ready to run it on its own.
Let’s build something great together.
My background is in mechanical engineering, but I built my career in software, everywhere from a startup to big tech companies like Amazon and Google. Now I help Fortune 500 enterprises modernize their platforms. My goal is to help your team build better software and keep pace with AI.
Richard C
Prefer email? cconsultservicesllc@gmail.com