Manuel Martín Salvador

AI research 🤝 Software engineering

From research to production: computer vision that works with your real data.

I work remotely from Granada (Spain) for clients worldwide.

Contact me

What I do

I help companies and R&D teams design, build, and deploy computer vision & AI systems, with a focus on reliability, metrics, and cost.

If you’re dealing with…

  • A pilot that “works” but fails on real-world data and edge cases.
  • Feasibility uncertainty: data, metrics, latency, cost, privacy.
  • Needing an external review of architecture, performance, or dataset quality.

I can help you get…

  • A clear plan: what to do first, what to measure, and key risks.
  • Reproducible results (not fragile demos) and data-driven decisions.
  • Practical handover: documentation, next steps, and technical support.

Background: PhD in ML, 15+ years bridging research and industry, and hands-on CV experience (face detection, monocular 3D eye estimation, hand tracking). More about me.

How we’ll work together

A simple process to quickly reduce uncertainty and move toward the right solution.

1

Discovery

We define the goal, success metrics, available data, and constraints (latency, cost, environment, privacy).

Outcome: feasibility assessment + action plan.

2

Prototype & evaluation

We build a baseline, iterate with reproducible experiments, and validate on your data.

Outcome: clear metrics + effort, cost, and risk estimates.

3

Production & handover

We land the architecture, MLOps, and monitoring. I make the system easy to maintain and scale.

Outcome: technical deliverables + handover + targeted support.

FAQ

What kind of projects are the best fit?

Computer vision and AI systems where reliability matters: feasibility, evaluation, architecture, performance, and bridging the gap from prototype to production.

What do you need to get started?

A short description of the goal, sample data (even a small subset), how to measure success, and constraints (latency, cost, privacy). If you don’t have data yet, we can define a capture/labeling plan.

Do you work hourly or project-based?

Both. We can start with a small hourly block for discovery, or define a project with clear scope and deliverables.

Can you sign an NDA?

Yes. I’ve worked with teams with strict confidentiality requirements.

How do you communicate?

I adapt to your team: async when possible (for focus), short meetings when useful. I work in CET/CEST.

What tools do you use?

I mainly work with Python, PyTorch, and MLflow for experiment tracking/monitoring. I’m not tied to a specific cloud provider, and I can adapt to your environment (AWS, GCP, Azure, or on‑prem).

Do you issue invoices?

Yes. I’m registered as a self‑employed professional in Spain and can issue invoices.

Services

Pick the format that fits your team. If you’re unsure, we’ll clarify it in a first conversation.

Icon for Computer Vision & AI consulting

Computer Vision & AI consulting

Best for: feasibility, metrics, architecture, and performance questions.

Typical outputs: technical report, roadmap, prototype, recommendations.

Let’s talk
Icon for ML system design & evaluation

ML system design & evaluation

Best for: building or scaling ML pipelines with fewer surprises.

Focus: data, metrics, MLOps, technical debt, architecture decisions.

Get guidance
Icon for research collaboration

Research collaboration

Best for: applied research support and co-authorship.

Focus: reproducible experiments and publication-ready results.

Collaborate
Icon for technical advisory

Technical advisory

Best for: decision-making with an expert external perspective.

Focus: build vs buy, vendor assessment, strategy and risks.

Request advisory

If you want the full detail, see the services page.

Want to talk?

Describe your case in 3–5 sentences. I’ll tell you whether it’s a fit and what the next step looks like. No obligation.