12.09.2025 aktualisiert
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Premiumkunde
100 % verfügbarPrincipal Engineer and Architect - AI, Cloud, and Data Solutions
München, Deutschland
München +50 km
PhD in Computer ScienceSkills
I am an Independent Consultant and Cloud & AI Engineering Leader with 15+ years of experience delivering data-intensive systems, SaaS platforms, and cloud-native architectures. My background spans academia—where I trained thousands of classical machine learning models for medical imaging research—to industry projects in scientific computing, finance, and automotive.
I combine hands-on software development with cloud strategy and leadership, helping organizations:
- Transform complex requirements into working AI and cloud solutions.
- Accelerate delivery and reduce costs through automation and modern DevOps practices.
- Build scalable data pipelines, MLOps platforms, and SaaS applications.
- Align technology choices with product and business goals while reducing delivery risk
- Cloud & Platform Engineering – AWS (ECS, Lambda, Step Functions, DynamoDB, Redshift, Glue), GCP, Azure, Terraform, Pulumi, Serverless
- Software Architecture & Development – Python, Rust, C++, Java, TypeScript; APIs, backend services, and data pipelines
- AI & Data Solutions – ML pipelines, MLOps platforms, large-scale model training; applying research rigor to client projects
- Scalable SaaS & Data Systems – secure, automated, audit-ready systems with observability and testing built in
- Team Leadership & Enablement – interim technical lead, mentoring, CI/CD automation, engineering culture building
- Deliver hands-on cloud and AI engineering expertise to accelerate projects and reduce costs.
- Translate business and research needs into scalable, maintainable solutions
- Reduce risk with automation, testing, and observability
- Enable small teams to deliver faster and more reliably
- Freelance / Contract – short- or long-term consulting engagements for cloud, AI, and data projects
- Software Architecture & Development – design and implementation of APIs, data pipelines, SaaS, and AI systems
- Cloud & Migration Projects – cloud-native modernization, AWS/GCP/Azure expertise, CI/CD and DevOps automation
- AI & Data Solutions – MLOps platforms, scalable machine learning pipelines, and applied AI for research and industry
- Team Enablement & Leadership – interim technical lead, mentoring, engineering culture building, and process improvemen
- 2024-currently: Cloud Backend Engineer, Dectris AG. Build a service that offers remote desktops, Jupyter lab environments, and execution workflows for data analytics in the field of crystalography and synchrotrons.
- 2023-2024: MLOps Engineer, Bayer. Build tools and services for the AI development team to run ML models on production for different precision farming applications. Based on Terraform, Serverless, and Python.
- 2023: Senior Data Engineer, KONUX. Build a real time data pipeline based on PySpark to process UK Railways network data to create a network digital twin.
- 2022: Senior Data Solution Architect, Klarna. Build a real-time Slack alerting system based on Rockset, Kafka, and Kubernetes using AI. A tool to monitor the Klarna service integrations from their customers.
- 2021: Senior Data Solution Architect, Personio. Build serverless data pipelines in the cloud to aggregate data from different third-party data providers for business reporting.
- 2021: Data Engineer, CARIAD, Remote. As a data engineer I improved the reliability and testability of the data pipelines running in Airflow for a Points of Interest data aggregation system for the Volkswagen ID.3 and ID.4.
- 2019-2021: Cloud Applications/Data Engineering Team Lead, Nordcloud GmbH, Munich, Germany. As team lead I manage projects staffing, internal management, development processes, and knowledge sharing. Pre-sales and writing cloud solution project proposals. Implement integration and performance tests for a REST API in Go. Amazon Elasticsearch automated data ETL for reporting and data analytics. Cloud infrastructure with AWS CDK: CI/CD pipeline, step functions for data processing, monitoring, and alerting. Azure IoT PoC and Azure AKS tu run Dask and JupyterHub at scale to run datascience jobs.
- 2018-2019: Cloud Applications Developer, Nordcloud GmbH, Munich, Germany. Technical lead in a project in the automotive industry to build a fast big data ingestion system for factory production data in Python based on AWS Step Functions to automate the data ingestion for a data warehouse in AWS Redshift and a data lake with AWS Glue. Infrastructure defined with Terraform, CI/CD pipeline with code linting, static type checking, and integration tests. Serverless Framework for the lambda functions, step functions, triggers, and alerts. Automated monitoring and alerting with AWS Cloudwatch and SNS.
- 2017-2018: Cloud Application Engineer, Software Defined Inverter, Siemens Corporate Technology, Munich, Germany. Using Python and Terraform for IoT project: RESTful API test driven development, IoT tooling for production, and cloud infrastructure in AWS.
- 2017: IT Architect, MaibornWolff Gmbh, Munich, Germany. BMW Log-Analyzer: software engineering and DevOps for IT infrastructure with Ansible, Python, Kafka, and ELK stack for log data stashing and analysis. BMW Augmented Reality Tracking: C++ application to measure and estimate in real time IMU data and UR robotic arm to simulate human head movement for car driver HUD.
- 2015-2017: Post-doctoral researcher, Klinikum rechts der Isar, TUM, Munich, Germany. Brain PET-MRI processing for computer-aided diagnosis systems. Specially using resting-state fMRI, DTI and FDG-PET. Brain image data pre-processing and analytics pipeline done with Python and Matlab. Medical image processing and time-series analyses for age-related dematiae detection and understanding. AWS for big data processing. Scientific publications and lecturing in intensive workshops for scientific staff focused on open source software, bash, git, and programming with Python. Using Scikit-learn and pipelines with nipype.
- 2014-2018: Board member and organizer of EuroPython 2015 and 2016 in Bilbao, Spain. Software and Data Carpentry Instructor:
Intensive courses for scientific staff focused on open source software, bash, git, and programming
with Python. 2016 in Bilbao, Spain. Software and Data Carpentry Instructor. - 2015: Post-doctoral researcher, Wrocław University of Technology, Wrocław, Poland. Machine learning applied to brain and abdominal MRI for computer-aided diagnosis systems. Specially using resting-state fMRI and time-series analysis. International research collaborations and publications.
- 2013-2015: Post-doctoral researcher, Computational Intelligence Group (UPV/EHU), San Sebastián, Spain. Machine learning approaches applied to resting-state fMRI connectivity using Python. Setup and provisiong of an HPC cluster for the department's brain image processing cluster. Using Scikit-learn and pipelines with nipype.
- 2008-2013: PhD Student, Computational Intelligence Group (UPV/EHU), San Sebastián, Spain. Multimodal brain MRI processing. Machine learning for feature selection, dimensional reduction, and classification. Bayesian sampling methods. Lecturing master degree. Using Scikit-learn and pipelines with nipype.
- 2007-2008: Software Engineer, InnovaeVision S.L., San Sebastián, Spain. Java and Hibernate web service with frontend application for certification company. Embedded GNU/Linux C++ application for specific hardware for medical treatment.
- 2004-2007: Software Engineer, JADE Systems S.L., Pamplona, Spain. Systems and network administrator. Windows C++ programming for aeronautical material calculation software for wind energy turbine structures.
- Studies
- PhD in Information Engineering, Computational Intelligence Group (GIC), UPV/EHU, San Sebastián, Spain. Approved with honors (Apto cum laude). Experiments of Machine Learning for Neurodiagnosis, mentored by Prof. Dr. Manuel Graña Romay.
- BSc. and MSc. in Information Engineering, University of the Basque Country (UPV/EHU), San Sebastián, Spain.
Graduation project: "Experiment with Hidden Markov Models for the Spanish sign-language recognition". Approved with honors.
- Courses, awards and others
- AWS Cloud Developer Associate certificate. Valid until end of 2020.
- Txekintek/Ekintzaile, BIC Berrilan, San Sebastián, Spain. Public funding for medical image processing startup.
- XXIV Premio Toribio Echeverria Award and XIII Manuel Laborde Werlinden Award, Basque Country Government, Eibar, Spain. 2 awards for a startup idea and project.
- 6 months internship at FMRIB, The University of Oxford, UK. On modeling of brain diffusion data with Bayesian approaches and model selection processes.
- Community work. Co-organizer of EuroPython 2015, 2016, and 2018, EuroSciPy 2019, and Remote Python Pizza. Speaker
at EuroPython 2016, PyData Florence 2017, and PyconWeb 2018.
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicherPortugiesischMutterspracheSpanischMuttersprache
Projekthistorie
Python, AWS, and MLOps
PySpark and AWS data engineering in the R&D team.
Real-time anomaly detection system using Kafka, AWS Kinesis Data Analytics, running services in Kubernetes, and storing the hot timeseries data in Rockset.
I was in collaboration with the team on designing the system. I implemented the CI/CD pipelines in Jenkins, I wrote an async Rockset client and the async systems to run the detection processes and APIs, and also sending alerts through Slack. I collaborated on the Docker images configuration and deployments, and implementing the Kinesis Data Analytics process.
I was in collaboration with the team on designing the system. I implemented the CI/CD pipelines in Jenkins, I wrote an async Rockset client and the async systems to run the detection processes and APIs, and also sending alerts through Slack. I collaborated on the Docker images configuration and deployments, and implementing the Kinesis Data Analytics process.