Enterprise .NET + AI-driven development

Senior .NET Software Architect for AI-enabled enterprise systems

Designing and delivering enterprise-grade .NET platforms, AI-assisted workflows, Azure/AWS cloud systems, secure integrations, and modernization programs.

Senior .NET architect and engineer with 20+ years of experience building database-driven software with C#, ASP.NET Core, Blazor, Delphi/Object Pascal, SQL Server, PostgreSQL, AWS, Azure, OpenAI APIs, and agentic development workflows.

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20+ yrs

Enterprise delivery

16+

Systems delivered

12 modules

Healthcare HIS

AI + cloud

Azure/AWS/OpenAI

C#.NET CoreASP.NET CoreBlazorREST APIsSQL ServerPostgreSQLAzureAWSOpenAI APIAgentic codingDelphi / Object Pascal

Recruiter Snapshot

Best-fit roles

Open to roles

Senior .NET / C# Engineer

ASP.NET Core, Blazor, REST APIs, enterprise workflows, and production support.

AI Integration Engineer

OpenAI API-backed workflows, prompt design, explainable scoring, and agent-assisted delivery.

Software Architect / Technical Lead

System boundaries, data models, modernization planning, and delivery guidance.

Cloud Backend Engineer

Azure/AWS systems, database-heavy services, integrations, payment workflows, and business logic.

Delphi Modernization Engineer

Legacy analysis, refactoring, migration planning, and business-rule preservation.

Engineering signal

Enterprise architecture, Azure/AWS cloud delivery, OpenAI API integration, secure .NET APIs, relational database design, legacy modernization, and agentic coding with human review.

Engineering Expertise

Enterprise .NET, AI integration, cloud delivery, and modernization

I focus on systems where architecture, data integrity, operational reliability, and business continuity matter: distributed .NET platforms, Azure/AWS cloud workflows, OpenAI API integration, secure APIs, healthcare and ERP systems, and legacy modernization.

Distributed .NET / C# Systems

ASP.NET Core, Blazor, REST APIs, service boundaries, background workflows, and production business platforms built around maintainable architecture.

AI Integration & Agentic Delivery

OpenAI API-backed workflows, prompt design, explainable scoring, AI coding agents, architecture decomposition, review checkpoints, test support, and documentation.

Azure & AWS Cloud Delivery

AWS production systems, Azure-hosted AI workflows, deployment paths, CI/CD habits, production support, security boundaries, and release planning.

ERP & Healthcare Platforms

Multi-module business systems for healthcare, finance, billing, inventory, manufacturing, reporting, operations, and administrative workflows.

Database Architecture

SQL Server, PostgreSQL, schema design, stored procedures, reporting, migration planning, query behavior, and data integrity checks.

Delphi & Legacy Modernization

Delphi/Object Pascal, WinForms, Access-backed tools, and older business systems documented, stabilized, refactored, and migrated without losing critical logic.

AI + Cloud Engineering

.NET systems with AI integration, agentic delivery, and cloud context

I position AI as an engineering layer inside reliable enterprise systems: clear service boundaries, controlled prompts, explainable outputs, data privacy, logging, review checkpoints, and production-minded cloud deployment.

AI Integration

OpenAI-backed product workflows

Designed Azure-hosted .NET/Blazor workflows that use OpenAI API-backed analysis, prompt design, matching logic, and explainable scoring for a production-ready AI job matching prototype.

AzureOpenAI API.NETBlazorPrompt design

Agentic Delivery

AI coding with human architecture control

Use AI agents for scoped implementation, code analysis, tests, debugging, documentation, refactoring support, and acceptance-criteria driven delivery while keeping architecture and review decisions human-owned.

GitHub CopilotCursorClaudeGemini CLIReview checkpoints

Enterprise AI Focus

RAG, search, and copilots as active practice areas

Actively expanding Azure AI practice around RAG pipelines, embeddings, vector and hybrid search, Azure AI Search, Azure AI Foundry-style orchestration, Azure ML lifecycle concepts, and Copilot Studio workflows.

RAGEmbeddingsAzure AI SearchAzure AI FoundryCopilot Studio

Cloud Platforms

AWS production systems and Azure AI workflows

Delivered AWS-hosted business platforms for payments, e-commerce, and restaurant operations, plus Azure-hosted AI product workflows with attention to deployment flow, security boundaries, and operational support.

AWSAzureREST APIsSecurityProduction support

Engineering Approach

How I reduce risk in complex .NET, AI, and cloud systems

The details vary by system, but the discipline stays consistent: make boundaries explicit, protect the data, control AI behavior, preserve business knowledge, and release in reviewable steps.

Enterprise platforms

Multi-module ERP and healthcare architecture

Module boundaries, shared data models, reporting workflows, and staged releases for business-critical .NET and database systems.

AI integration

OpenAI API-backed .NET workflows

Prompt design, service boundaries, explainable scoring, review checkpoints, test support, and product flows that keep AI behavior observable and maintainable.

Integrations

Secure payment and API workflows

Validation, audit logging, failure handling, access control, and regression planning for sensitive transaction systems.

Data systems

High-integrity relational database design

SQL Server and PostgreSQL workflows with schema evolution, stored procedures, reporting, query tuning, and migration checkpoints.

Cloud delivery

AWS/Azure production implementation

Cloud-hosted business platforms, deployment workflows, operational support, security boundaries, and AI-enabled product delivery.

Modernization

Legacy Delphi/.NET migration planning

Current-state analysis, business-rule preservation, incremental refactoring, data migration, rollback planning, and cutover design.

20+ yrs

Enterprise delivery

Production engineering across healthcare, ERP, e-commerce, payments, CMS, restaurant operations, and internal tools.

16+

Systems delivered

Representative production systems and modernization patterns across multiple business domains.

2 yrs vs 3

Accelerated HIS delivery

A 12-module hospital information system delivered ahead of the original plan.

1 week

AI SaaS prototype

An Azure/OpenAI API-backed job matching product taken from idea to production-ready prototype.

Flagship Projects

Engineering case studies, not marketing samples

Representative production systems and anonymized project patterns showing .NET architecture, Azure/AWS cloud delivery, AI integration, delivery context, and measurable business impact.

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Secure Online Payment Platform

Production

An AWS-hosted production payment workflow with secure integrations, audit-oriented controls, recurring upgrade support, and compliance-minded delivery.

Architecture

API-first transaction workflows with validation, audit logging, integration contracts, failure handling, and database-backed traceability.

Impact

Supported reliable production payment operations and recurring third-party security/compliance upgrade cycles.

AWSC#ASP.NETSQL ServerSecurityIntegration

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Multilingual E-Commerce Platform

Production

A production web and mobile commerce platform supporting multilingual customer experiences, global product workflows, and database-backed catalog operations.

Architecture

AWS-hosted web/mobile system with Blazor UI, .NET services, SQL Server catalog data, SQLite mobile storage, and test coverage around key workflows.

Impact

Delivered on time and roughly 20% under budget while supporting multilingual customer and product operations.

AWSC#Blazor.NET MAUISQL ServerSQLite

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Hospital Information System

Production

A 12-module healthcare platform covering administrative, financial, and clinical workflows in a database-driven desktop/server environment.

Architecture

Modular Delphi/C# and SQL Server system with staged delivery, reporting workflows, and clear operational boundaries.

Impact

Delivered in 2 years against a 3-year plan while supporting business-critical hospital workflows.

DelphiC#SQL ServerHealthcareReporting

View Details

Case Studies Preview

How I Think Through Software Problems

Good software is more than code. I focus on understanding the workflow, modeling the data, reducing delivery risk, designing maintainable architecture, and building interfaces users can understand.

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Secure integrations

Payment Platform Modernization

API-first payment workflows, auditability, encryption-aware design, and compliance-minded release upgrades.

Modernization

Legacy System Modernization

Step-by-step modernization planning for Delphi, WinForms, Access, or older desktop systems without risky big-bang rewrites.

Restaurant operations

AI-Backed Restaurant Data Import

A fully AI-backed server platform that imports whole restaurant datasets from mainstream platforms so owners transition without rebuilding everything from scratch.

Technical Stack

Tools I use for .NET, AI, cloud, and modernization work

The stack is intentionally enterprise-focused: reliable .NET/C# applications, maintainable Blazor interfaces, Azure/AWS deployment experience, OpenAI API integration, agentic coding workflows, relational data, testing, CI/CD, and Delphi modernization.

Explore Skills

Backend

C#.NET CoreASP.NET CoreASP.NET MVCREST APIsWeb APISOAP Web ServicesEF Core

AI Integration

OpenAI APIPrompt engineeringAgentic codingRAG patternsEmbeddingsAzure AI SearchCopilot Studio

Cloud

AzureAWSCloud-hosted appsDeployment workflowsProduction supportSecurity boundaries

Database

SQL ServerPostgreSQLMySQLOracleSQLiteMicrosoft AccessStored ProceduresData Modeling

Frontend

Blazor Web AppBlazor ServerBlazor WebAssemblyHTML5CSS3JavaScriptjQueryBootstrap

Legacy & Desktop

Delphi / Object PascalVCL-style applicationsWinForms.NET MAUIVisual BasicLegacy business systems

Delivery

GitGitHubGitHub ActionsNUnitxUnitDUnitXGitHub CopilotCursorClaudeGemini CLI

Engineering Notes

Writing on architecture, AI integration, modernization, and delivery

Practical observations from production software: .NET boundaries, Azure/AWS delivery, AI integration, migrations, data access, secure APIs, Blazor, and disciplined use of AI coding tools.

Read Insights

Jul 01, 2026

Stop Using Fixed Chunk Sizes in Enterprise RAG.

Most RAG tutorials recommend a fixed chunk size, such as 512 tokens with 128-token overlap. In production, that approach often breaks business context and reduces retrieval quality. I prefer semantic chunking—splitting documents by logical sections such as policy rules, API endpoints, contract clauses, or code functions. Each chunk should represent one complete business concept.

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Jun 22, 2026

A CI/CD pipeline with Docker is not just “push code and deploy.”

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Jun 17, 2026

The Most Expensive Line of Code in a Distributed System

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About Me

Practical engineering for complex systems

More About Me

I am a senior .NET architect and engineer focused on enterprise applications, Azure/AWS cloud delivery, OpenAI API integration, Delphi legacy systems, relational databases, and secure integrations. My background spans healthcare, ERP, e-commerce, medical research, secure payment workflows, and internal business tools.

I am especially interested in the intersection of enterprise modernization, AI integration, and agentic development - using modern tools to improve systems without losing business-critical knowledge, data integrity, or operational reliability.

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Let’s improve the system your business depends on.

I am open to senior .NET engineering, software architecture, technical leadership, backend platforms, and Delphi modernization opportunities.

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