Application engineering
Production software that balances domain clarity, performance, and maintainability.
.NETC#PythonTypeScriptREST APIsMicroservices
Expertise
Broad systems knowledge. Deep engineering judgment.
Technology is only useful in context. We work across the stack to understand how architecture, delivery, data, and operations shape one another.
Data platforms
Transactional and analytical data systems designed for correctness and useful access.
PostgreSQLSQL ServerBigQueryAirflowData WarehousingETL / ELT
Distributed systems
Asynchronous systems with explicit consistency, failure, and recovery strategies.
KafkaRedisEvent-driven designMessagingCachingResilience
Cloud & infrastructure
Repeatable, observable environments that support safe, frequent software delivery.
AWSAzureGoogle CloudKubernetesDockerTerraform
Delivery & operations
Engineering feedback loops that make release and runtime health visible.
GitHub ActionsCI/CDOpenTelemetryObservabilitySRE practicesPlatform engineering
Applied AI
LLM systems grounded in enterprise knowledge and connected to real tools and workflows.
OpenAIAnthropicOllamaLangChainRAGMCP
01
Understand the system
We trace constraints across product, people, code, data, and infrastructure before prescribing a solution.
02
Make trade-offs visible
Every architecture has costs. We document decisions so your team understands what it is choosing and why.
03
Design for ownership
The best system is one your team can change and operate after the engagement ends.
Let's build well
Have a complex engineering challenge?
Tell us what you're working through. We'll bring a clear technical perspective to the first conversation.