Marlon Cajamarca Vega
About Marlon Cajamarca Vega
Marlon Cajamarca Vega is a Senior Machine Learning Engineer with extensive experience in machine learning and artificial intelligence. He has worked in various roles across multiple companies and has a strong educational background in Mechatronics Engineering and Applied Artificial Intelligence.
Current Role at Multiverse Computing
Marlon Cajamarca Vega serves as a Senior Machine Learning Engineer at Multiverse Computing since 2024. He operates in a hybrid work environment based in San Sebastián, Basque Country, Spain. His role involves leveraging advanced machine learning techniques to contribute to the company's projects and initiatives.
Previous Experience in Machine Learning
Prior to his current position, Marlon held several roles in machine learning research and engineering. He worked at Simetrik as a Senior LLM Machine Learning Research Engineer for three months in 2023. He also served as a Senior Machine Learning Research Engineer at Provectus for four months in 2023 and as a Machine Learning Research Engineer at Transport Systems S.A.S. for eleven months from 2022 to 2023.
Academic Background and Qualifications
Marlon studied at Escuela Tecnológica Instituto Técnico Central, where he earned a degree in Mechatronics Engineering from 2009 to 2015. He also pursued studies in Applied Artificial Intelligence at Pi School in 2018 and completed a Deep Learning Specialization on Coursera from 2016 to 2017. His education provides a strong foundation for his expertise in machine learning and artificial intelligence.
Technical Skills and Expertise
Marlon is proficient in managing machine learning and large language models throughout their life cycle. He utilizes various tools such as AWS Sagemaker, ML-Flow, and Docker for containerizing deep learning applications. His experience includes working with SQL and NoSQL databases, including Neo4J, MongoDB, and PostgreSQL, enhancing his ability to handle data effectively.
Mentoring and Teaching Experience
Marlon has a passion for mentoring and teaching, demonstrated through his role as a Machine Learning Educator at Udemy from 2018 to 2021. He focuses on simplifying complex concepts for learners and fostering team growth, making technical knowledge accessible to both technical and non-technical stakeholders.