Mexico City Metropolitan Area
4 years of experience in monitoring data performance, troubleshooting issues, and optimizing data environments. Strong analytical mindset and excellent problem-solving abilities. Able to provide data-driven decision making. Deep understanding of database technologies and systems. Equally confident working independently or collaboratively to ensure project success.
Developed machine learning models for AI-driven cancer recognition, improving diagnostic accuracy. Utilized Docker for scalable deployment, optimized algorithms through testing, and ensured high-quality training data. Collaborated to enhance functionality based on user feedback.
Led AI model fine-tuning to enhance performance and reliability, conducted code reviews to optimize functionality, and collaborated with teams to implement improvements, ensuring high-quality AI solutions.
Ensured high data quality for AI training by reviewing annotations, refining quality control processes to reduce errors, and collaborating with teams to align data accuracy with project goals
Collaborated with a cross-cultural team from Universidad Politécnica de Yucatan (UPY) as part of the Business Analytics Program at St. Lawrence College (SLC) to address a real-world business problem. Utilized advanced tools such as Excel, Power BI, tableau, R, and Python to achieve the cleaning, gathering and visualization of the client's data.