Curriculum Vitae
David Cañones#
CTO & Co-Founder @ WhiteBox + DataMarket | Scaling AI & Data Ventures | Executive Leadership
Madrid, Spain
Contact#
Summary#
I build Data and AI companies.
I’m currently CTO and COO of a group of three tech companies with presence in Spain and the US (WhiteBox, DataMarket, and FEN Technology). My focus has evolved from programming to organizational architecture, P&L management, and leading a high-performance team of 25+ engineers.
The Group:
- WhiteBox: Custom AI and Software solutions. We help large corporations like Vodafone and El Corte Inglés turn their data into real revenue.
- DataMarket: DaaS (Data as a Service) platform revolutionizing data access in Spain, with clients like Burger King and Mahou San Miguel.
- FEN Technology: Deep-tech consultancy specializing in R&D funding for innovation in Europe and the United States.
Industrial Engineer with an MBA. I bridge the gap between algorithmic complexity and business strategy — from developing predictive models in critical sectors (energy, healthcare, telco) to leading organizations that deploy AI at scale.
Experience#
CTO & Co-Founder, WhiteBox (10/2019 - Present)#
Greater Madrid Area
As CTO and COO, I lead an AI and software development consultancy with over €1M annual revenue and a team of 25 engineers.
- Executive Leadership: Full P&L management, operations and talent strategy, acting as the main bridge between technology and business.
- Solution Architecture: Technical leadership on key enterprise accounts, designing scalable AI architectures for clients like Vodafone, Mahou San Miguel, and El Corte Inglés.
- Engineering Culture: Scaled the team from 0 to 25 employees, implementing agile development methodologies and quality standards that allow us to outperform large consultancies.
CDO & Co-Founder, DataMarket (01/2021 - Present)#
Greater Madrid Area
CDO and Co-Founder of the leading DaaS (Data as a Service) platform in Spain, generating €400k+ ARR through B2B subscription models.
- Product Strategy: Design and execution of the product roadmap, ensuring quality and freshness of critical datasets for business decision-making.
- Business Development: Closing strategic deals and deploying data solutions for corporate clients like Burger King, Mahou San Miguel, and Adevinta.
- Data Governance: Oversight of massive ingestion pipelines, ensuring GDPR compliance and high data availability.
Partner & Investor, FEN Technology (05/2025 - Present)#
Miami, Florida, United States
Strategic acquisition and integration of this deep-tech consultancy into the corporate group, specializing in R&D funding (~€500k/year).
- M&A & Integration: Technical due diligence and acquisition, aligning operations with group synergies (WhiteBox and DataMarket).
- Technical Oversight: Validating technical feasibility of innovation projects to maximize success in public funding calls (European and American).
- International Strategy: Coordinating the innovation flow between the operational HQ in Madrid and commercial expansion in Miami and the Middle East.
Lead Instructor Data Analytics, Ironhack (07/2019 - 09/2021)#
Greater Madrid Area
Led the Data Analytics bootcamp, training the next generation of tech talent in Madrid.
- Impact & Metrics: Intensive training of 100+ students over 2 years, maintaining a consistent 95% NPS satisfaction rate.
- Technical Communication: Demonstrated ability to translate complex concepts (Machine Learning, Python, SQL) into practical, accessible training.
- Talent Development: Career mentorship that facilitated successful hiring of graduates at top-tier tech companies.
Senior Data Scientist, Pragsis Bidoop (07/2018 - 10/2019)#
Madrid, Spain
Development and deployment of Machine Learning and Deep Learning models for large industrial accounts.
- Business Impact: Optimized energy prediction for 13 wind farms (1GW) in the US. Achieved a 10% reduction in forecasting error, translating into massive operational cost savings.
- MLOps & Big Data: Scaled models from prototype to production using distributed technologies (Apache Spark) and workflow orchestration (Apache Airflow).
- Computer Vision: Designed real-time detection systems on Edge hardware (Google Edge TPUs), optimizing inference on low-power devices.
Data Scientist, Kernel Analytics (10/2017 - 07/2018)#
Acquired by BCG Gamma
Madrid, Spain
Advanced Big Data and Marketing Analytics consulting for large corporations.
- Telco & Customer Experience: Developed a Customer Experience Management (CEM) framework for a leading mobile operator.
- Big Data: Correlated terabytes of network logs (3G/4G) with CRM data to predict customer churn and reduce contact center call volume.
Data Scientist, Servinform (02/2015 - 10/2017)#
Seville, Spain
Development of data products and intelligent automation for large-scale information processing.
- NLP Innovation: Built a natural language processing engine capable of translating user queries to SQL, democratizing access to complex databases.
- Automation (RPA): Designed a back-office process automation framework, significantly reducing manual workload and opening a new business line for the company.
Education#
Escuela de Organización Industrial (2014 - 2015)#
MBA, Business Administration and Management
Universidad de Sevilla (2007 - 2014)#
MSc Industrial Engineering
Honors & Awards#
AWS DeepRacer League Madrid, 3rd position (2019)#
Machine Learning competition organized by AWS consisting of developing a Reinforcement Learning model for an autonomous car. 3rd position in the Spanish competition and member of the team that swept the top 3 positions.
Certifications#
- TensorFlow Developer Certificate, Google
- Deep Learning Specialization, deeplearning.ai
- TensorFlow in Practice Specialization, deeplearning.ai
- AI for Medicine Specialization, deeplearning.ai
- Machine Learning, Stanford University
- Advanced Machine Learning Specialization, Higher School of Economics
- Learning From Data, Caltech
- The Analytics Edge, MIT
- Computational Thinking and Data Science, MIT
- Computer Science and Programming Using Python, MIT
- Data Manipulation at Scale: Systems and Algorithms, University of Washington
Technical Stack#
| Section | Technologies |
|---|---|
| Machine Learning | scikit-learn, XGBoost, LightGBM, CatBoost, H2O, MLlib, MLflow |
| Deep Learning | TensorFlow, PyTorch |
| Generative AI | LLMs, Diffusion Models, HuggingFace Transformers |
| Computer Vision | OpenCV |
| NLP | NLTK, spaCy, Fasttext |
| In Memory | pandas, Polars, NumPy, Apache Arrow |
| Relational | PostgreSQL, SQLite, Oracle |
| Big Data | Apache Spark, Hadoop, ClickHouse |
| Cloud Computing | AWS, GCP, Azure |
| Orchestration | Apache Airflow |
| Languages | Python, R, SQL |
| Visualization | Matplotlib, seaborn, Plotly, Power BI |