Technical Solutions Architect

Cloud-native architect, building AI-augmented enterprise systems.

9+ years shipping microservices, Kubernetes, and DevSecOps for high-availability platforms. Now helping teams integrate LangChain, LangGraph, and managed AI services across AWS, Azure, and GCP into production .NET, Go, and React stacks — without rewriting them.

Book a callSee selected work
.NETGoReactNext.jsKubernetesDaprLangChainAWS BedrockAzure OpenAI
Capabilities

What I do

Three areas I've spent the last decade on. Each one shipped at scale, in production, under SLAs that mattered.

cloud-native

Cloud-native architecture

Microservices, Kubernetes, Dapr, and observability built for high availability. I design distributed systems that stay up under load and stay sane under change.

  • Kubernetes
  • Dapr
  • .NET Aspire
  • Prometheus
  • Grafana
By the numbers

Measurable outcomes across nine years.

0+
Years architecting cloud-native systems
0%
Reduction in deployment time via CI/CD
0%
Reduction in data transfer via integration tuning
0%
Scalability gain via microservices design
ai-integration

AI integration for enterprise

LangChain, LangGraph, and managed AI services on AWS Bedrock, Azure OpenAI, and Google Cloud — integrated into production .NET, Go, and React stacks. No re-platforming, no detours through Python services if you don't want them.

  • LangChain
  • LangGraph
  • AWS Bedrock
devsecops

DevSecOps & CI/CD

Pipelines that ship faster without breaking compliance. SOAP/REST integration hardening, IaC across AWS / Azure / GCP, and security audits that surface real risk.

  • Azure DevOps
  • AWS
  • GCP
Selected work

Things I've built

Anonymized for NDA. Each project below is a system running in production, serving real users at meaningful scale.

01Multi-cloud platform · enterprise software vendor

AI-powered cloud patch management

An intelligent patch management platform that automates software patching across cloud servers. Machine learning drives scheduling, vulnerability detection, and conflict prediction — keeping cloud infrastructure secure and up-to-date while minimizing impact on system performance.

Role · Lead Architect
  • AWS
  • Azure
  • GCP
  • Kubernetes
  • .NET
  • ML
02Cloud monitoring · hybrid IT operations

Multi-tier infrastructure observability

Real-time oversight of an organization's entire IT environment. Tracks performance, health, and availability across servers, networks, databases, and applications. Automated alerts and anomaly detection let teams resolve issues before they hit business operations. Modular design scales from SMB to enterprise.

Role · Architect & Lead Engineer
  • Grafana
  • Prometheus
  • Redis
  • Terraform
  • Docker
  • React
  • Go
03Digital transformation · emerging-market education sector

End-to-end education platform

An integrated school management platform built to digitize and streamline academic and administrative workflows. Unifies student data, fee management, scheduling, communication, and reporting in a single system — purpose-built for the constraints of an emerging-market education context.

Role · Solutions Architect
  • .NET
  • React
  • MSSQL
  • Mobile
See all work
Services

How to engage

Productized engagements with clear scope, timeline, and price. No hourly retainers. No scope creep.

Service · 012-week engagement

AI Integration Audit

I review your existing .NET, Go, or cloud stack and identify the 3–5 highest-ROI places to integrate AI. You leave with a prioritized roadmap, effort estimates, and a sanity check on what to build vs. buy.

  • Architecture assessment report
  • Prioritized AI integration roadmap
  • Effort and risk estimates per initiative
  • Live walkthrough and Q&A
Starting at$4,500
Request scope
Service · 021-week engagement

Cloud-Native Architecture Review

Deep review of your microservices, Kubernetes, observability, and CI/CD setup. You leave knowing exactly where the bottlenecks, security gaps, and cost leaks are — and what to do about each.

  • Findings document with severity ranking
  • Prioritized remediation plan
  • Cost optimization recommendations
  • Security and compliance checks
Starting at$3,500
Request scope
Service · 034–6 week build

AI Agent Build

End-to-end build of a production AI agent or workflow integrated into your existing enterprise stack. LangChain or LangGraph, your stack — .NET, Go, or React — your data, your guardrails.

  • Production-ready agent or workflow
  • Integration with your existing stack
  • Evaluation harness and observability
  • Handover, docs, and 2-week support window
Starting at$12,000
Request scope
Next step

Got a system that needs to scale, or AI that needs to ship to production?

Book a call