José Juan Galán Montero

Machine learning researcher and AI enthusiast. Software engineer with full stack experience.
I really enjoy working inside a team and consider myself a good autodidact learner.

EXPERIENCE

JUNIOR RESEARCH ENGINEER at QBEAST
Hybrid | February 2022 - Present
Conducting research on the application of the QBEAST format and its multidimensional indexing system to improve the performance and reduce the cost of training for complex machine learning models. 
Working with libraries such as Tensorflow, MLFlow, Comet-ML, and Spark. Additionally, I have experience working with AWS services such as S3, SageMaker, and EMR, as well as Google Cloud's Vertex AI and Cloud Storage
Worked in collaboration with BSC (Barcelona Supercomputing Center), using their Marenostrum 4

AI ENGINEER AT SDG GROUP
Remote| July 2021 - January 2022
Implementing data engineering processes using technologias such as Snowflake, Python, Terraform, Docker or Adobe Airflow
Implementing a cloud based dynamic pricing framework for retail companies

FULL STACK DEVELOPER AT BABEL S.I.
Babel Barcelona| September 2019 - September 2020
Active participation on the development of AMAINE Insurance Core, a complete web application used by several clients simultaneously
Management of databases through MySQL
Backend development with Java and Spring framework
Frontend development using Angular (Typescript)
Implementation of full features from client requirements 

STUDIES

UNIVERSITAT POLITECNICA DE CATALUNYA
September 2020 - January 2022
Master in Artificial Intelligence

UNIVERSIDAD DE SEVILLA September 2015 - 2019
Bachelor degree on Software Engineering
Awarded as one of the best marks in the 2015 access to University Test. Best score of the Informatics Faculty with 13.378 out of 14
Ten subjects finished with honors. Among them: 
Fundamentals of Programming and Algorithm Analysis and Design.

SKILLS

Excellent programming skills on Java, Python and SQL among others
Experienced practicioner with supervised/unsupervised learning, neural networks, reinforcement learning, natural language processing. 
Highly interested in emerging technologies such as AI, LLM, or quantum computing