Markel Ramiro
Data Scientist & ML Engineer
Building intelligent data solutions that deliver real business impact
About Me
I'm a Data Scientist and Machine Learning Engineer passionate about transforming data into actionable insights. With expertise in AI/ML model development and deployment, I help organizations leverage data-driven decision making for competitive advantage.
AI & ML Expertise
Developed and deployed AI solutions including anomaly detection systems, predictive models, and natural language processing applications.
Data Pipeline Engineer
Experience building robust data pipelines and ETL processes that ensure data quality and availability for analytics workloads.
Cloud-Native Deployment
Skilled in containerizing ML applications and deploying them to production environments using Docker and Kubernetes.
Professional Profile
As a Data Scientist and ML Engineer with a degree in Artificial Intelligence, I specialize in developing data-driven solutions that solve real business problems. My expertise includes machine learning, data engineering, and deploying AI systems in production environments.
Currently working at Devol as a Data & AI Engineer, I'm leading the development of LLM-based document extraction systems and natural language interfaces. I'm passionate about using cutting-edge technologies to create practical applications that deliver measurable business value.
I have a strong foundation in Python, ML frameworks, and cloud technologies, with experience in the entire ML lifecycle from data preparation to model deployment and monitoring.
Technical Skills
My toolkit for solving complex data challenges
AI & Machine Learning
OpenAI
Python
TensorFlow
PyTorch
Scikit-learn
Hugging Face
LangChain
Pandas
NumPyBackend & Infrastructure
Kubernetes
Docker
AWS
Azure
Flask
Node.js
Prometheus
GrafanaDatabases & Frontend
PostgreSQL
MySQL
MongoDB
React
Next.js
Tailwind
SvelteKitTechnology Stack
Featured Projects
A selection of data science and machine learning projects showcasing my technical abilities
Anomaly Detection System
Developed an anomaly detection system for API performance monitoring using statistical methods and machine learning. The system processes time-series data in real-time and sends alerts when unusual patterns are detected.
DocMind LLM Document Extraction
Led development of an LLM-based system that automatically extracts structured data from unstructured documents, reducing manual processing time by 85% for enterprise clients.
Time Series Forecasting
Natural Language to SQL
Built a RAG-based system that converts natural language questions into SQL queries, allowing non-technical users to query databases using conversational language.
Professional Experience
My journey in the world of data science and machine learning
Data & AI Engineer at Devol
Leading AI development initiatives for enterprise clients, focusing on document processing automation, natural language interfaces, and predictive analytics. Responsible for end-to-end model development, from data preparation to production deployment.
AI Integration Specialist at Nomada Omnimotion
Contributed to VR technology innovation by developing AI-powered pose estimation systems for omnidirectional treadmills. Engineered sensor fusion algorithms for real-time motion data integration.
Founder @ Wippass
Built and deployed a complete ticketing platform handling €30,000+ in transactions for local events. Achieved multiple sold-out events (900+ attendees) and was featured in El Referente magazine for entrepreneurial innovation.
B.Sc. in Artificial Intelligence @ University of the Basque Country
Focus on machine learning, neural networks, and data processing. Final project on anomaly detection with Kubernetes deployment (Grade: 9/10).
Contact Me
Interested in working together? Reach out through any of these channels.