Senior .NET Backend Consultant · AI Integration · Remote · B2B

Backend systems built to hold.
In production.

Specialized .NET consultant for systems where complexity has already emerged — and AI integration into real production environments. 14 years as an independent contractor with real load, complex dependencies and operational pressure.

01 · Problems

Do any of these sound familiar?

Backend problems don't appear in diagrams. They appear in production, under load, at the worst possible moment.

Latency that appears under real load

The system works in staging. In production, under real volume, response times spike.

Technical debt blocking delivery

Every new feature takes twice as long as the previous one. The codebase is slowing the team down.

Legacy you can't stop

The system needs refactoring, but the business can't afford a halt.

No real observability

Incidents are detected late, are hard to diagnose and nearly impossible to prevent.

Opaque bottlenecks

Degraded performance, but hard to pinpoint: queries? application code? architecture?

Unexpected scaling needs

The architecture handled the original volume. With current growth, it no longer does.

02 · Value proposition

Not every problem is solved by adding features.

I specialize in the point where the system is already in trouble: degraded performance, accumulated complexity, legacy systems under operational pressure. My approach is pragmatic: evidence-based diagnosis, surgical intervention, incremental improvement without unnecessary disruption.

  • Focus on system reliability, not new features
  • Structural reasoning about the problem, not superficial patches
  • Experience in real, active production systems
  • Pragmatic architecture — neither over-engineering nor new technical debt

I'm not:

  • A generalist focused on adding features
  • An architect disconnected from real code
  • A consultant who over-engineers without context

03 · Services

Areas of intervention

01

AI Integration

Integration of LLMs and agentic workflows into .NET production systems. Configurable behavior via settings, auditable logic, production engineering standards. AI inside the system — not on top of it.

02

Performance Optimization

Diagnosis and resolution of bottlenecks at every level: SQL queries, application code, data pipelines and architecture. Analysis with evidence, not assumptions.

03

Production Stabilization

Intervention in systems under operational pressure. Incident analysis, root cause identification, observability improvements and operational risk reduction.

04

Architectural Refactoring

Incremental evolution of legacy systems and monoliths towards maintainable architectures. Without stopping the business or interrupting team delivery.

05

Team Integration

Direct participation as an embedded consultant. Bringing production experience, quality standards and additional technical capacity to the existing team.

06

Technical Assessment

Architecture review and code audit. Objective evaluation of system health with actionable, prioritized recommendations.

04 · Technical edge

Mathematical background as a structural advantage

BSc in Mathematics, University of Santiago de Compostela. A background that is not decorative: it translates directly into how I design systems, reason about complexity and make architectural decisions under uncertainty.

Degree

BSc in Mathematics

Universidad de Santiago de Compostela · 1993–1999

  • Coherent domain models with well-defined invariants

  • Reasoning about computational complexity applied to design decisions

  • Algorithmic rigor in optimization and performance analysis

  • Conceptual precision before writing code — not the other way around

05 · Methodology

How I work

01

I integrate into the existing team

I work with the processes, stack and business context that already exist. I don't impose methodologies or unsolicited structural changes.

02

I work with real code

Analysis starts from the production system, with real data under real load. Not idealized diagrams.

03

Incremental improvement, no big bang

Incremental, reversible changes with measurable impact at each iteration. Without interrupting team delivery.

04

Direct technical communication

With the team and technical leadership. No ambiguity, no overselling, always with supporting evidence.

05

Observability focus

Any intervention improves the team's ability to understand, monitor and act on the system.

06 · Experience

Selected experience

Active production projects only, with real impact. Full CV available on request.

AI-Integrated Backend System

AI Integration · Own development

2025 — Present

End-to-end design and development of a production-grade backend system integrating LLM-based analysis into real domain workflows. Clean Architecture, fully configurable AI behavior via settings, runtime scoring model. Chrome Extension for data capture, dockerized pipeline. The AI does not replace the workflow — it runs inside it.

.NET 8 · Claude API · SQL Server · Docker · Quartz · TypeScript

Wealth Management Platform

Fintech · MiFID2

2021 — Present

Backend consultant on a multitenant SaaS platform for regulated financial advisory. Refactoring of critical components, performance optimization and per-tenant observability. Active production system with multiple modules: account management, portfolio reporting, advice engine and digital signature.

.NET 6/8 · ASP.NET Core · SQL Server · MongoDB · RabbitMQ · Redis · Docker

Integral Air Handling System

Air Logistics

2021 — Present

Full design and development of an operational management system for an air handling operator. Covers the complete cycle: flights, manifests, rates, automated billing, storage and accounting. Sole technical owner from day one, system in active production.

.NET 5 · ASP.NET MVC · Azure App Service · Azure SQL

Analytical Data Platform

Automotive

2020 — 2021

Snowflake connector optimization and performance improvements on analytical dashboards over a microservices architecture. Fork and adaptation of the CData driver to resolve connectivity limitations in the client environment.

.NET Core 3.1 · Docker · Kubernetes · Snowflake

Backend under pressure?

If the problem has already surfaced in production, it's time to talk. No commitment, no sales pitch.

Schedule a call

07 · Contact

Tell me about the technical challenge.

I work with teams that have a real backend problem. If that's your case, write to me.

Or write directly to

freelance@jmcasal.com

Full CV available on request.