Production .NET 10 systems, delivered start to finish by one architect

Money lives in an append-only ledger. Balances are derived from entries and never overwritten, so any figure on a statement can be replayed from the entries that produced it.

Every write records its audit row inside the same SQL transaction. There is no second store to fall out of step, so a crash cannot leave a change without its trail.

Concurrent writers are settled by row-version predicates. The second writer is told it lost and retries against fresh data — it never silently overwrites the first.

Background work is durable end to end: a conditional claim, an attempt id written before any external call, a heartbeat lease while the job runs, and recovery restricted to leases that have genuinely expired.

Outbound fetches resolve a hostname once and connect to that pinned address, so a DNS rebind between check and connect cannot walk a request into your internal network.

Secrets stay out of source control. Committed configuration ships blank, values at rest are sealed with AES-GCM under a rotatable master key, and a missing secret stops the host at startup naming the exact environment variable it wants.

37 in-house .NET 10 products share this stack and these rules — counted from the monorepo this site is built in — each behind a build that fails on a single compiler warning.

Your .NET Framework monolith is slowing every deployment. Pages take seconds. Audit trails are unreliable. I refactor it to a zero-warning .NET 10 Blazor platform — your team maintains clean code, your users get sub-second pages, and cutover happens with zero downtime — the migration is staged behind a compatibility boundary so old and new run side by side until you switch.

Commission errors cost clients real money. Bank reconciliations that do not balance are a compliance risk. I build transaction pipelines protected by proved two-writer SQL concurrency — your numbers balance at peak load, every time. Same-store audit means every mutation has a permanent, verifiable record in the same transaction.

Campaign automation that duplicates? Document ingestion that drops files? Background queues that lose jobs on restart? I build atomic claim-leasing, idempotency keys, and three-category lease recovery so every job runs exactly once — even through host failure.

Stalled delivery? Mysterious deadlocks? Security gaps you cannot quantify? I deliver a written report with prioritised fixes, a remediation roadmap, and executable next steps. Typical turnaround: two weeks. If we proceed to a build, the audit fee is credited.

Enterprise Case Management and Advisor Workflow System

Outcome: Same-store audit on every write; the migration staged behind a compatibility boundary so old and new ran side by side and cutover was a switch rather than an outage.

High-Volume Financial Commission and Multi-Store Ledger

Outcome: Append-only ledger with balances derived from entries, row-version predicates on every mutation, and the audit row written in the same transaction.

Real-Time Fleet and Asset Telemetry Platform

Outcome: Direct-SVG rendering with Catmull-Rom route splines and no third-party chart dependency to license, patch or wait on.

Multi-Tenant SaaS Engine with Impersonation and Audit

Outcome: Every authorisation decision made server-side at resource level; impersonation is a stack that cannot cross a tenant boundary and unwinds one audited step at a time.

Distributed Worker Queue with Outbox Recovery

Outcome: Atomic claim-lease via SQL UPDATE OUTPUT, an idempotency key per job, and recovery restricted to expired leases — no manual database cleanup after an incident.

Egress-Controlled Document Ingestion Microservice

Outcome: Resolve-once-then-pin egress guard: private ranges refused, response size and duration bounded, secrets redacted from diagnostic logs.

We talk for 30 minutes about your project, your stack, and what you need. If it fits what I do, I write a one-page scope document with a fixed price. If it does not, I tell you where else to look.

Before I write code, I define the data model, API contracts, audit schemas, and UI layout. You review and approve every spec. No surprises at delivery.

I build to the approved spec — .NET 10, direct EF Core LINQ, same-store audit, zero build warnings. You see working software at every milestone.

I deploy to your infrastructure and train your staff. Full source code, repository history, and documentation are available for purchase at an agreed fee. The compiled system is licensed for perpetual use with no ongoing commitment.

// High-Throughput C# 10 / .NET 10 Architecture Standard
namespace EnterpriseApp.Services;

public class ClientService : IClientService
{
    private readonly AppDbContext _efContext;

    public ClientService(AppDbContext efContext)
    {
        _efContext = efContext ?? throw new ArgumentNullException(nameof(efContext));
    }

    public async Task<ClientResponseDto> GetClientByIdAsync(long clientId, CancellationToken cancellationToken)
    {
        var clientEntry = await _efContext.Clients
            .AsNoTracking()
            .FirstOrDefaultAsync(x => x.Id == clientId, cancellationToken);

        if (clientEntry == default)
            throw new EntryNotFoundException("The requested client could not be found.");

        return clientEntry.ToDto();
    }
}

// CRM & Case Management: Modular Domain Architecture Layering
// Flow: contracts -> data abstractions -> persistence adapters -> domain-partial service

namespace EnterpriseCRM.Services;

public partial class Service : IService
{
    public async Task<CreateCaseResponse> CreateCaseAsync(CreateCaseRequest request, CancellationToken cancellationToken)
    {
        if (request.Client == default)
            throw new ArgumentNullException(nameof(request.Client));

        using var transaction = await _dbContext.Database.BeginTransactionAsync(cancellationToken);

        var caseEntry = CaseEntry.CreateFromDto(request.CaseDto);
        _dbContext.Cases.Add(caseEntry);

        // Same-store SQL audit history committed inside the unit of work
        _dbContext.AuditLogs.Add(AuditEntry.Create("CaseCreated", caseEntry.Id));

        await _dbContext.SaveChangesAsync(cancellationToken);
        await transaction.CommitAsync(cancellationToken);

        return new CreateCaseResponse { Success = true, CaseId = caseEntry.Id };
    }
}

// Distributed Automation Worker Standard
namespace DistributedWorkers.Service;

public class DocumentQueueWorker : BackgroundService
{
    protected override async Task ExecuteAsync(CancellationToken stoppingToken)
    {
        while (!stoppingToken.IsCancellationRequested)
        {
            var claimedWork = await AtomicClaimNextJobAsync(stoppingToken);
            if (claimedWork != null)
            {
                await ProcessJobIdempotentlyAsync(claimedWork, stoppingToken);
            }
            await Task.Delay(5000, stoppingToken);
        }
    }
}