The person engagement leads bring in when a program needs an architect who can also lead the room — and a delivery lead who can also write the code.
For 15+ years I've architected and delivered enterprise-scale digital platforms — and lately I'm spending most of my curiosity building with AI: agents, orchestrators, and AI-assisted engineering inside real delivery teams.
Day-to-day across solution architecture, platform modernization, and onshore delivery leadership — with hands deep in C#, .NET Core, Azure, Optimizely CMS/B2B Commerce, and React. The AI work runs in parallel: writing automated code reviewers, multi-agent orchestrators, and Agile user-story agents — then writing about what works and what doesn't.
Hands-on across the full enterprise stack — from architecture and cloud, through C# services and React front-ends, to AI agents, orchestration, and AI-assisted delivery.
From .NET developer in Indore to architecting enterprise platforms in Milwaukee — a steady climb through the discipline of shipping real systems for real enterprises.
Architect on long-running enterprise engagements — owning solution design, sprint planning, and feature matrix preparation across 15-person onshore/offshore teams. Design API-led integrations and .NET Core modernizations; drive incident management, observability, and post-go-live support. Increasingly bringing AI-assisted workflows — Claude, Copilot, custom agents — into day-to-day delivery.
Led senior IC work on digital commerce modernization — authoring technical specifications, RESTful APIs between ERP systems and dealer platforms, and migrating legacy modules to .NET Core. Partnered with Product Owners on backlog refinement and velocity tracking.
Delivered enterprise .NET applications and PIM integrations. Authored audit logging and traceability controls to meet enterprise compliance, and led code reviews and performance tuning across catalog, search, and ERP integration layers.
Designed and developed scalable .NET applications — full module ownership from architecture through deployment. Established coding standards, conducted code reviews, and coordinated delivery schedules with the project team.
Designed, coded, and debugged web applications using ASP.NET and SQL Server within an Agile team. Coordinated bug triage, regression validation, and on-site deployment.
Developed and maintained .NET web applications across the full SDLC — design, coding, testing, and deployment.
Optimizely certifications across Commerce, CMS and the new Opal AI platform — plus a Scrum Alliance product-owner cert and the formal computer-science foundation underneath it all.
Where I'm spending most of my curiosity right now — building AI agents, orchestrator patterns, and AI-assisted engineering workflows. Architecture notes alongside.
A hands-on guide to wiring Claude into your Azure DevOps pipeline as a code reviewer — the prompt design, PR integration, guardrails, and what it catches that humans miss.
Read on LinkedIn ↗The dev-loop bottleneck that every team hits: shipping a working local build to a stakeholder in seconds, not hours. A walkthrough of the tooling and patterns that finally killed the "works on my machine" excuse.
Read on LinkedIn ↗Where most AI tutorials stop, real engineering begins. A first-person account of moving past one-shot prompts into stateful, memory-aware AI systems — and why that shift changes everything you build next.
Read on LinkedIn ↗Treating an AI as a teammate, not a tool: how to design, train, and integrate an automated code reviewer that actually earns its seat in your team's PR workflow.
Read on LinkedIn ↗Turning a fuzzy product idea into structured, ready-to-implement user stories — automatically. The agent design, the prompt scaffolding, and what it took to get the output Agile teams trust.
Read on LinkedIn ↗Why a single LLM call rarely solves enterprise problems — and how an orchestrator coordinating specialized agents unlocks reasoning, reliability, and scale that solo prompts can't reach.
Read on LinkedIn ↗