Software architect / AI systems builder

Designing systemsthat think, connect,and perform.

I architect and build AI-integrated software for serious workflows, from multi-agent platforms and connected-device data to the infrastructure that keeps them reliable in production.

Live systemOperational
ArchitectureHuman + AIorchestration layer
INTELLIGENCEModelsReason + evaluate
CONTEXTDataRetrieve + ground
EXECUTIONToolsAct + integrate
JUDGMENTHumanReview + decide
TraceableObservableProduction-ready
Focus / 2026AI-native productsMulti-agent systemsEnterprise platformsConnected-device dataGTM infrastructure

System architecture

Intelligence is only one layer.

The real work is composing models, software, data, infrastructure, and human judgment into one coherent operating system.

01

Intelligence

Models, retrieval, memory, tools, evaluation, and human judgment composed into reliable workflows.

LLMRAGAgentsEvals
02

Platform

Typed contracts, explicit orchestration, durable state, observability, security, and resilient integration.

JavaReactAPIsCloud
03

Product

Clear operator experiences that turn complex infrastructure into useful decisions and repeatable action.

UXWorkflowGTMData

How I work

Strategy close to code.Architecture close to reality.

I work best where the problem is not just technical and not just strategic: shaping the product thesis, designing the system, and building enough of it to make the next decision real.

That means moving comfortably from model behavior and integration contracts to deployment, observability, operator experience, and commercial execution.

01

Make the system legible.

Architecture should be inspectable, explainable, and operable long after the first demo.

02

Keep intelligence accountable.

Agents need contracts, boundaries, evaluation, and a clear path back to human judgment.

03

Build toward production.

Move fast in prototypes without creating a technical dead end for the real product.

Experience signal

Built across eras. Focused on what is next.

A career spanning enterprise platforms, cloud transitions, connected systems, and the current shift toward AI-native software.

24+Years in software engineering
20+Years integrating APIs and systems
12+Years building microservices
3+Years designing LLM systems
2023 - nowHealthcare + AI

AI-integrated enterprise systems

Designing Medicare plan digitalization, document generation, RAG, and AI-assisted decision workflows with Java, Spring Boot, Kafka, Vertex AI, and OpenAI.

2022 - 2025Retail + finance

Real-time platforms and critical APIs

Led microservice architecture for store-delivery optimization, card management, payment processing, and secure enterprise integrations.

2015 - 2022IoT + cloud

Connected operations at scale

Modernized dispatch and SaaS platforms through event-driven systems, geolocation, device telemetry, containers, AWS, and GCP.

2003 - 2015Enterprise + telecom

The platform foundation

Built enterprise software, B2B marketplaces, and carrier-grade service platforms, including two co-invented telecom product breakthroughs.

Connected ecosystem

Independent perspective. Shared execution.

My work lives inside a broader ecosystem of product engineering, AI infrastructure, connected devices, and commercial systems.

Open a channel

Bring me the difficult part.

Architecture, AI product strategy, platform modernization, or a system that needs to move from promising to production.

moganyan@moganyan.com