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My academic journey has equipped me with technical expertise in computer science, specialized in Machine Learning, and complemented by a comprehensive understanding of business dynamics. I seek opportunities to apply operational ML techniques and AI solutions to innovate and optimize business processes.
At Grupo SM: Jun 2019 - Aug 2019
Engaged in the innovative
co-creation of products and led the development of mobile apps in a team setting, leveraging
technologies such as Node.js, Javascript, CSS, and Html. Applied Agile and Scrum methodologies
to ensure project success.
At Universidad Carlos III de Madrid: Dec 2019 - Apr 2020
Spearheaded data management and analytical initiatives, with a focus on game theory.
Coordinated international projects and utilized technologies like Pandas, Python, and R to
achieve research objectives.
At Universidad Carlos III de Madrid: Sep 2022 - Jun 2023
Drove initiatives to extract insights from company data and implemented innovative
machine learning techniques. Supported business decisions through marketing-oriented client
clustering using technologies like Pandas, Python, SQL, Big Query, and VertexAI.
At Grupo MásMóvil: Oct 2022 - Apr 2023
Orchestrated the
deployment of resources and automated processes, including data ingestion pipelines. Developed
dashboards for cloud cost analysis, utilizing technologies like Airflow, Google Cloud
Platform, Kubernetes, GitHub, and Data Studio.
At Grupo MásMóvil: Apr 2023 - Oct 2023
Lead the
development of processes crucial to company operations in a dynamic team environment,
coordinating with quality assurance and documenting meticulously. Utilized technologies like
Reactive Java, Kubernetes, GitHub, Cadence, Agile, Kanban, and Copilot to execute scalable
projects.
At Grupo MásMóvil: Oct 2023 - Present
ML Ops. Capturing and
developing use cases of Artificial Intelligence in the company. Vertex AI, GCP, Azure, LLM, MLOps.
At Founderz & Microsoft: June 2023 - present
At Universidad Carlos III de Madrid: Sep 2017 - Jun 2023
Honors:
- Excellence scholarship (Comunidad de Madrid 2019/20, 2020/21, 2021/22)
- Student representative 2019/20
Recognized in: Programming, Statistics, Game theory, Computer networks, Design of IoT systems, Data structures
and algorithms, Advanced computation theory, Machine learning
At Universidad Complutense de Madrid: Sep 2015 - Jun 2016
Basic generative adversarial networks (GANs) at DeepLearning.AI & Coursera: Jan 2022
Machine Learning principles at Microsoft & EdX: Jun 2020
Madrid, Spain
romerorico.hugo@gmail.com