Machine Learning Engineer
Current- Maintenance and debugging of DL and ML models related with pricing using agile methodologies.- Identified and solved bugs ensuring code quality through testing with QA/QC and version control using Git.
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Michelle Sainos is listed as Machine Learning Engineer @ Kuona | Deep Learning, Machine Learning at Kuona, based in Mexico, Mexico, Mexico. AeroLeads shows a matched LinkedIn profile for Michelle Sainos.
Michelle Sainos previously worked as Machine Learning Engineer at Kuona and Graduate Researcher at Centro De Investigación Científica Y De Educación Superior De Ensenada. Michelle Sainos holds Master'S Degree, Computer Science from Centro De Investigación Científica Y De Educación Superior De Ensenada.
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As a Machine Learning Engineer at Kuona, I specialized in refining deep learning models for sales predictions, demonstrating my proficiency in Python's data science stack and commitment to code quality through rigorous testing and version control. My Master's degree in Computer Science from CICESE has been instrumental in these endeavors, equipping me with the academic foundation to tackle complex data challenges.My project leading Mexican Sign Language recognition showcased my ability to employ Agile methodologies and craft robust ML/DL pipelines. This initiative not only sharpened my analytical skills but also revealed my passion for leveraging technological advancements to foster inclusive communication. Our team's success was rooted in collaboration and a relentless pursuit for innovation.
Listed skills include Data Analysis, Python, Fortran, Programming, and 4 others.
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Nuevo León, Mexico
- Maintenance and debugging of DL and ML models related with pricing using agile methodologies.- Identified and solved bugs ensuring code quality through testing with QA/QC and version control using Git.
Ensenada, Baja California, Mexico
- Led a project on Mexican Sign Language recognition employing a comprehensive ML/DL pipeline, including dataset acquisition, feature selection, training/testing using custom time series classification algorithms.
Mexico City Area, Mexico
- Developed image classifiers for geological applications.- Created desktop applications with the Qt framework and C++ managing version control using Git.- Solved heuristic optimization problems for geotechnical purposes utilizing swarm, simulated annealing, evolutionary and multi-objective algorithms to improve subsurface models.
Mexico City
- Utilized Fourier analysis and computational data modeling techniques to compute elastic wave propagation in stratified media.- This tool was created to generate synthetic records due point and volumetric sources to understand field results.
Specialization in Machine and Deep Learning for video recognition and optimization problems.
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Michelle Sainos works for Kuona.
Michelle Sainos is listed as Machine Learning Engineer @ Kuona | Deep Learning, Machine Learning at Kuona.
Michelle Sainos is based in Mexico, Mexico, Mexico while working with Kuona.
Michelle Sainos has worked for Kuona, Centro De Investigación Científica Y De Educación Superior De Ensenada, Geotem, and Instituto De Ingeniería De La Unam.
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Michelle Sainos holds Master'S Degree, Computer Science from Centro De Investigación Científica Y De Educación Superior De Ensenada.
Michelle Sainos is listed with skills including Data Analysis, Python, Fortran, Programming, Wave Propagation Modelling, Statistical Data Analysis, Latex, and Rstudio.
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