08/22/2025 updated
100 % available
Data Scientist and AI Researcher pursuing a PhD in Cloud Management and Optimization
Barcelona, Spain
Worldwide
M.Sc. in Data ScienceArtificial IntelligenceAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3Cloud ComputingContinuous IntegrationExtract Transform Load (ETL)Data VisualizationDistributed SystemsAmazon DynamoDBApache HBasePython (Programming Language)MATLABMachine LearningMathematical Modeling
• Programming languages: Python (advanced), R (advanced). Matlab or other mathematical modeling languages.
• Experience in Kubernetes, AWS Cloud (EC2, S3, DynamoDB ), monitoring tools Prometheus and Grafana.
SQL DBs (Oracle DB, PostregeSQL, MySQL), NoSQL DBs (Neo4j, GraphDB, HBase, MongoDB ). Spark for distributed computing.
• Experience building, maintaining and deploying ML systems in production: CI/CD, monitoring, model performance optimization, designing ETL pipelines and Tableau for data
visualization.
• Experience in research AI/Cloud related. Understanding a framework/product main strenghts & weaknesses. Finding state of the art solutions.
• Experience in Kubernetes, AWS Cloud (EC2, S3, DynamoDB ), monitoring tools Prometheus and Grafana.
SQL DBs (Oracle DB, PostregeSQL, MySQL), NoSQL DBs (Neo4j, GraphDB, HBase, MongoDB ). Spark for distributed computing.
• Experience building, maintaining and deploying ML systems in production: CI/CD, monitoring, model performance optimization, designing ETL pipelines and Tableau for data
visualization.
• Experience in research AI/Cloud related. Understanding a framework/product main strenghts & weaknesses. Finding state of the art solutions.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentItalianBasic knowledgeSpanishNative speaker
Project history
Focusing on AI-driven Cloud management and optimization, researching methods to optimize Cloud orchestration using AI at the Barcelona Supercomputing Center.
Working on the CloudSkin EU project, orchestrating applications through heterogeneous infrastructure using AI, analyzing performance data with a self-designed framework on top of k8s.
Collaboration on distributed vLLM inference optimization, focusing on analytical optimization of multiple LLM models placement over distributed inference servers.