Daniel Embarcadero
@danielembarcadero
Machine learning and data engineer building scalable pipelines and production ML solutions.
MexicoWhat I'm looking for
I am a machine learning and data engineer with enterprise experience building scalable data pipelines, maintaining production ML models, and developing high-quality software. At Oracle I created and managed robust data workflows, automated delivery processes, and mitigated model drift to ensure reliable production performance.
My background includes a Master’s in Computer Science and formal specializations in Deep Learning and Machine Learning from DeepLearning.AI and Stanford-related coursework. I combine algorithm design, data modeling and cloud engineering skills with a collaborative, goal-oriented approach to deliver impactful, production-ready systems.
Experience
Work history, roles, and key accomplishments
Create and manage scalable, robust data pipelines and maintain ML models to mitigate drift, automating data workflows to reduce delivery times and delivering high-quality enterprise software.
Contributed to enterprise software and data engineering efforts across the stack, supporting ML model deployment and pipeline development during a three-year tenure.
Education
Degrees, certifications, and relevant coursework
IIMAS, UNAM
Master's degree, Computer Science and Engineering
2019 - 2022
Earned a Master’s degree in Computer Science and Engineering with coursework relevant to machine learning and production systems.
DeepLearning.AI
Professional Specialization, Machine Learning / Deep Learning
Completed Deep Learning Specialization and Machine Learning Specialization focusing on deep learning frameworks and applied ML techniques.
Stanford University (Coursera)
Professional Specialization, Machine Learning / Deep Learning
Completed machine learning and deep learning coursework through Stanford-affiliated online programs.
Facultad de Ciencias, UNAM
Bachelor of Science, Mathematics
2010 - 2014
Completed a degree in Mathematics at Facultad de Ciencias, Universidad Nacional Autónoma de México with focus on mathematical foundations applicable to data science.
Tech stack
Software and tools used professionally
Availability
Location
MexicoAuthorized to work in
Social media
Job categories
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