AM Info ConceptSoftware engineering · since 2005
ROENFR

Services

From the first line of code to years of production

We cover the whole life of an operational platform, and we are strongest where most teams struggle: when data grows, rules multiply and the original authors are gone.

Platform engineering & ownership

Operational and financial platforms built on ASP.NET, Entity Framework and SQL Server, owned end to end: data model, architecture, code, deployment and production.

  • First line of code to production in weeks, from proven models
  • Reporting architectures that absorb new rules without redesign
  • Primary technical ownership for years, then clean transfer

Ioan Marian

Performance engineering

We find where time actually goes and remove the work that multiplies: repeated calculation, wide rows carried too far, combinatorial growth, N+1 queries.

  • Staged tracing, per-phase timings, p95 / p99
  • Paging chosen by measured cost, not habit
  • Benchmarks across volume decades, before production

Ioan Marian

Legacy .NET modernisation

Web Forms, MVC 5 and .NET Framework applications moved to ASP.NET Core and .NET 8 in controlled steps, with equivalence verified at each one.

  • File-by-file migration that keeps architectural control
  • Both generations running side by side during transition
  • Same rows, same results, measured before and after

Ioan Marian

Observability & audit

Logging designed into the platform, not added after the first incident: every slow page becomes a sequence of measurable operations.

  • Functional and performance logs, alerts, regression detection
  • Audit tables: who changed or deleted what, and when
  • Client- and server-side timings on both ends of an API

Ioan Marian

SharePoint & Microsoft 365

Eleven years across every SharePoint generation, from 2003 on-premises to SharePoint Online: platforms, migrations, Web Parts and business workflows.

  • Large migrations with resumable, self-built migrators
  • Web Parts, SPFx in React, CSOM / PnP, PowerShell
  • Power Automate, Power Apps, Active Directory integration

Ioan Marian · Ana Maria Marian

QA & application validation

Results checked before they reach production, and problems described precisely enough to be fixed without a second investigation.

  • Functional, regression and pre-production testing
  • Business data verified against expected results
  • Production issues triaged: what blocks, what can wait

Ana Maria Marian

Engagement models

Three ways to work with us

Most common

Long-term mission

One or two of us embedded in your team, remote, on a B2B contract. Technical ownership of a platform: architecture, delivery, production, knowledge transfer.

Fixed scope

Performance audit

We instrument the slow path, measure it on your data and deliver a written diagnosis: where the time goes, what to remove first, what it will buy you. Fixes optional.

Project

Modernisation

A legacy .NET application moved to a current stack in controlled steps, with measured equivalence at each step: same rows, same results, known performance.

Applied AI

AI as a multiplier, not as the designer

We use AI every day: to research, implement, test and document faster. It does not detect future breaking points, and it does not carry the responsibility for a choice. The design, the criteria, the logging and the validation stay with us.

A concrete case: an entire platform documented by declaring each page's dependency map first, applying one analysis grid across all pages, then letting syntheses rise from page to module. The drafting was generated. The verification was done by hand, against how the application really behaves.

  1. Written conventions before any generated code
  2. A measured baseline to compare against
  3. One correct, validated example to replicate
  4. Human verification of every result that reaches production

Technologies

A deliberately Microsoft-centred stack

Back end
  • C#
  • .NET 8
  • .NET Framework 4.8
  • ASP.NET Core
  • ASP.NET MVC
  • Web API / REST
  • Web Forms (migration)
  • Console & batch
Data
  • SQL Server
  • T-SQL
  • Entity Framework 6
  • EF Core
  • Dapper
  • Execution plans
  • Indexing
Cloud
  • Azure Batch
  • Azure Storage
  • Azure AD / Entra ID
  • Active Directory
Front end
  • TypeScript
  • React
  • Vue
  • Angular
  • JavaScript / jQuery
  • Razor
Microsoft 365
  • SharePoint 2003 → Online
  • SPFx
  • CSOM / PnP
  • PowerShell
  • Power Automate
  • Power Apps
Practice
  • Git / GitHub
  • Structured logging
  • p50 / p95 / p99
  • Benchmark design
  • AI-assisted, human-validated

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