Agentic AI Leadership · Engineering since 2010

I’m Álvaro Arcos, CTO at MCCM Innovations & GenAI Engineering Leader.

I bring fifteen years of production engineering to the table—growing from full-stack delivery in 2010, to applied machine learning and deep learning work since 2015, and enterprise Agentic AI programmes launched from 2022 onward. The result: measurable impact from autonomous workflows, multimodal systems, and resilient ML platforms.

Experience 15+ years shipping production software
Delivery ML & DL since 2015 · Agentic AI since 2022
Portrait of Álvaro Arcos
CTO & AI Director at MCCM Innovations. I mentor our AI engineering teams daily, stay close to delivery through technical pairing, and steer the design of agentic AI systems via architecture reviews, prompt and toolchain design, plus hands-on prototyping across LangChain, PyTorch, FastAPI, and n8n. Recognised for a #1-ranking German Traffic Sign Recognition Benchmark solution.
Experience

Driving AI programs from discovery to scale

Since 2010 I have been hands-on with machine learning, deep learning, and today agentic GenAI— leading programmes that balance autonomous decisioning with the reliable execution our clients expect.

2018 – Present MCCM Innovations

CTO & AI Director

Agentic AI · ML Platforms · Product Strategy

Leading company-wide AI evolution since 2018—delivering machine learning and deep learning platforms from day one and, from 2022 onwards, scaling GenAI programmes that modernise the business for our global clients.

  • Agentic AI orchestration designing autonomous task pipelines with planner-executor patterns, tool use, and supervisory loops for operations teams.
  • Document intelligence platforms that automate extraction, classification, and validation of invoices, customs records, legal dossiers, and operational paperwork for enterprises across logistics, finance, and compliance.
  • Retrieval-augmented chat solutions delivering grounded assistance over company handbooks, regulatory frameworks, and product documentation with human-in-the-loop feedback.
  • Computer vision products spanning infrastructure inspection, manufacturing QA, and other applications using diverse deep learning architectures and custom dashboards tailored to each client.
  • Forecasting ecosystems covering energy demand, industrial production, and sales projections with data pipelines, model governance, and live inference services shaped to business requirements.
  • GenAI assistants for regulated teams accelerating clinical reporting, legal review, and customer operations with policy-aware orchestration, audit trails, and robust evaluation frameworks.
Python PyTorch TensorFlow LangChain Agentic AI RAG Systems FastAPI n8n & MCP AWS · Azure · GCP
2015 – 2018 University of Seville

AI Research & Software Development Engineer

Research Projects · Android & ML Engineering

Research and development across mobile and ubiquitous computing, machine learning, deep learning, mobile e-learning, mobile e-health, and computer vision programmes.

See full research scope

Responsibilities spanned applied research, experimentation, and production-grade prototypes in collaboration with multidisciplinary teams:

  • Time series forecasting and anomaly detection in live data streams using deep learning and machine learning techniques.
  • Human Activity Recognition via neural networks including CNNs, RNNs, and LSTMs.
  • Traffic sign recognition systems combining HOG, SVM, and CNN approaches, leveraging TensorFlow, Keras, Torch, PyTorch, Caffe, and OpenCV alongside the University of Vigo.
  • Context-aware Android notifications for students powered by Google App Engine, Google Cloud Messaging, and Moodle integrations, with behavioural analytics captured through Google Analytics.
  • Android wellness monitoring applications integrated with Google Fit to track activity, steps, sleep quality, heart rate, and distance.
  • Ambient sensing Android tooling collecting Bluetooth, Wi-Fi, activity, audio, and device orientation signals to analyse human interactions in workplace environments.
Deep Learning Computer Vision Android Python
May 2016 – Jun 2016 Open Source

Android Developer

COPDHelp E-health Application

Built an open-source Android app focused on improving quality of life for COPD patients, coordinating remote care teams and patient routines with context-aware notifications.

See launch highlights
  • Published the COPDHelp app on Google Play with medication reminders and wellbeing tracking.
  • Implemented secure data handling and lightweight analytics for clinicians.
Android Healthcare Open Source
Aug 2014 – Feb 2015 SGC-Online

Full-Stack Web & Android Developer

Commerce & Employment Platforms

Engineered high-traffic PHP platforms supporting nationwide employment services alongside an Android marketplace powering second-hand commerce.

See delivery highlights

Development and maintenance of several web applications with high concurrency alongside an Android marketplace product:

  • Real-time PHP platform for monitoring and searching Twitter keywords.
  • Curriculum management platforms with PayPal integration, delivered at mi-curriculum-vitae.com and my-cv-resume.com.
  • Employment marketplace supporting companies and job seekers with PayPal payments at empresas.empleoytrabajo.org and ofertas.empleoytrabajo.org.
  • PHP web scrapers ingesting daily job offers from 50+ external sites.
  • Viral questionnaire builder testylish.com enabling promotional experiences.
  • GeoIP-based user geolocation services.
  • Android marketplace app for second-hand commerce (Mi Trastero).
  • MySQL database optimisation for high-volume workloads.
  • SEO optimisation across multiple properties.
  • Web analytics instrumentation and user behaviour analysis.
  • Mailing automation with bespoke PHP tooling.

Stack: PHP, Java, HTML, CSS, JavaScript, MySQL, Twitter/Facebook/Google APIs, PayPal API, MaxMind GeoIP, Google Cloud Messaging, Google Analytics.

PHP MySQL Android High Availability
Jan 2014 – Aug 2014 Yobapp

Co-founder

Alfacamp Award-Winning Startup

Co-founded a mobile application builder enabling non-technical users to create and manage their own apps, leading the technical architecture and product roadmap.

See product architecture

Co-founder of Yobapp, winner of the Alfacamp acceleration program—empowering non-technical users to launch native apps:

  1. Generate a client-side JSON specification capturing the desired app configuration.
  2. Process the specification in a Java backend applying Model-Driven Development to emit Android native code.
  3. Compile the project and deliver the resulting APK directly to the customer via email.

Stack: Eclipse M2T, EcoreTools, EuGENia, HTML, CSS, JavaScript, PHP (Laravel), Java, Ant, Gradle, Android, AWS (EC2, S3, RDS).

Entrepreneurship Product Development Mobile Platforms
Jun 2014 – Jul 2014 Freelance

E-commerce Web Developer

Retail Platform Delivery

Developed and launched a Prestashop-based e-commerce site, tailoring catalogue management and payment integrations to the client’s retail operations.

See delivery scope
  • Configured end-to-end commerce flows including inventory, fulfilment, and analytics.
  • Provided training and documentation for non-technical store managers.
Prestashop E-commerce Consulting
Nov 2013 – Jan 2014 Isotrol

Full-Stack Web Developer

Social Services Platform

Delivered modules addressing gender-based violence within the Social Services application of Seville City Council, integrating secure workflows and advanced reporting.

See project contributions
  • Implemented HTML, PHP, JavaScript, and PostgreSQL features within an existing platform.
  • Coordinated releases with municipal teams to meet regulatory requirements.
PHP PostgreSQL Public Sector
Jul 2013 – Dec 2013 Prodetur

Innovation Consultant

SME Advisory Services

Provided advanced consulting services to companies across the province of Seville, helping them adopt digital tools and innovation practices.

See advisory focus
  • Conducted interviews across human resources, production, finance, ICT, environment, and energy functions to surface operational insights.
  • Produced analysis of requirements and service portfolios to guide innovation roadmaps.
  • Designed and deployed WordPress web estates, collaboration solutions (Dropbox, Google Drive), and social media management practices to raise competitiveness.
  • Participated in diagnostics consultancy engagements and broader innovation planning programmes.
  • Drove marketing and commercial activation initiatives for provincial SMEs.
Consulting Innovation SMB Enablement
Oct 2010 – Oct 2011 Isotrol

Full-Stack Web Developer

Municipal Social Services

Developed and maintained social services applications for Seville and Alcalá de Guadaíra city councils, managing large-scale data workflows across HTML, CSS, JavaScript, PHP, PostgreSQL, and Oracle 10g stacks.

See engineering highlights
  • Developed and maintained municipal social services platforms using HTML, CSS, JavaScript, PHP, PostgreSQL, and Oracle 10g.
  • Authored and optimised SQL triggers, processes, and reporting workflows.
  • Integrated web services with Seville’s Citizen Registry leveraging Java-based components.
  • Executed performance and scalability evaluations with Apache JMeter.
  • Delivered survey tooling for Alcalá de Guadaíra with LimeSurvey and produced training content using Wink.
PHP Oracle Public Sector
Education

Academic foundation for applied AI

Formal training in computer science and artificial intelligence that underpins my production-first approach to machine learning, computer vision, and GenAI systems.

2016 – 2018

PhD in Computer Science - Artificial Intelligence

University of Seville
2015 – 2016

University Degree in Computer Science

University of Seville
2012 – 2013

Master’s in Computer Science

University of Seville
2007 – 2011

Bachelor’s in Computer Science

University of Seville
Capabilities

Full-spectrum AI leadership

I operate at the intersection of research, engineering, cloud infrastructure, and executive storytelling — from roadmap definition to secure deployment.

AI & Machine Learning

Large Language Model orchestration spanning agentic workflows, chat agents, multimodal inputs, RAG pipelines, computer vision (YOLO, RegNet), NLP, OCR, and MLOps practices shaped for regulated industries—supported by frameworks such as PyTorch, TensorFlow, and LangChain.

Cloud & Platform Engineering

Architecting resilient systems across AWS, Azure, and Google Cloud with serverless services, containerised deployments, observability, CI/CD automation, and workflow orchestration using n8n automations and MCP server integrations—backed by operational mastery of relational SQL stores and distributed NoSQL databases for data-intensive workloads.

Product & Engineering Excellence

Python-first delivery with FastAPI, data pipelines, microservices, and agent control planes; collaborative "vibe" coding on React and Next.js interfaces when the team needs rapid front-end iterations; rigorous API design and quality assurance embedded into every iteration.

Leadership & Enablement

Daily coaching, pairing, and unblock sessions with AI engineers; stakeholder touchpoints focused on project kick-offs and outcome reviews to keep teams empowered and aligned.

Research

Peer-reviewed contributions

Recognised internationally for advancing traffic sign recognition and autonomous perception with deep learning architectures.

Neural Networks · 2018

Deep neural network for traffic sign recognition systems

Benchmarked spatial transformers and stochastic optimisation, achieving state-of-the-art performance on GTSRB with deployment-ready inference pipelines.

Read paper →
Expert Systems with Applications · 2017

Exploiting synergies of mobile mapping sensors and deep learning

Merged LiDAR, imagery, and neural networks to scale traffic sign acquisition pipelines for smart mobility programs.

Read paper →
Neurocomputing · 2018

Evaluation of deep neural networks for traffic sign detection

Comprehensive comparisons of detection architectures, optimising latency and accuracy for real-time deployments in autonomous vehicles.

Read paper →
References

Trusted by research and industry leaders

Testimonials from collaborators who have seen my impact across academia and product delivery.

Álvaro Arcos García has worked at the Universidad de Sevilla as Developer and Researcher in HERMES project (Healthy and Efficient Routes in Massive Open-Data Based Smart Cities-Citizen, funded by Ministerio de Economía y Competitividad) and M-Learning project (La Formación a Través de Dispositivos Móviles. Diseño y Evaluación de Contenidos y Actividades Formativas a Través de M-Learning, funded by Junta de Andalucía).

I supervised his work and Álvaro demonstrated excellent skills developing software (Android, Firebase, Google App Engine, Google Cloud Messaging, etc.) and machine learning algorithms (Deep Neural Networks, Support Vector Machines). He is also an excellent researcher writing the findings of the research team in scientific papers on impact factor journals.

I coordinated the HERMES Project where he is a valuable asset to the research team, furthermore I supervise his Ph.D. Thesis related with Deep Learning applied to identification and recognition of traffic signs in real time.

He is a team player whose excitement for learning enabled him to try new projects and take on more responsibility within the research team.

Álvaro has an aptitude for multi-tasking, giving original solutions for new problems. He is always willing to contribute to projects, is a true pleasure to work with. I am confident he will be successful throughout his career and highly recommend him as a researcher.

Juan Antonio Álvarez García portrait
Juan Antonio Álvarez García Lecturer & Researcher, University of Seville · Advisor Andalucía Open Future

During the time he was working with us, Alvaro did an extraordinary job in the different projects in which he participated. His level of commitment to the company, his professionalism and the responsibility and dedication with which he performed his work were outstanding.

Rafael R. Lopez Casado portrait
Rafael R. Lopez Casado CEO & Founder
Contact

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