TEACHING EXPERIENCE
2017-Present
Posgraduate Professor
Professor for the Master in Data Science Program
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Course: Deep Learning for Image Processing
• Convolutional Neural Networks (CNN)
• Transfer Learning
• Object Recognition
• Image Segmentation
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Course: Artificial Neural Networks applied to the Business
• Artificial Neural Networks fundamentals
• Gradient Descendent and Backpropagation
• FeedForward Neural Networks (FFNN)
• Recurrent Neural Networks (RNN)
• Self-Organizing Maps (SOM)
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Course: Artificial Intelligence Fundamentals
• Searching algorithms: BFS/DFS, A/A*, etc.
• Genetic Algorithm (GA)
• Fuzzy Logic (FL)
• Machine Learning Fundamental s (ML)
• Natural Language Processing (NLP)
2020-2020
Invited Professor
Professor for the Master in Biomedical Informatic
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Area: Technology 4.0 in Healthcare
• Blockchain applied to the Healthcare sector
• Data mining applied to the Healthcare sector
2017-2019
IBM Watson Trainer
• Provide basic understanding of AI technologies, practical knowledge of the core Watson APIs, and how applications can integrate these services.
• Fundamentals of creating, configuring, and training the Watson cognitive services on the IBM Cloud.
• Training for IBM Certified Application Developer - Watson V3.
EDUCATION
2019-2022
Doctor's Degree
Doctor of Science (c) in Systems Engineering.
Research area:
Complex Systems
Intelligent Systems
Explainable Artificial Intelligence (XAI)
2014-2015
Master's Degree
MBA, International Business & General Management.
Beta-Gamma-Sigma international honor society alumni. The Netherlands, Europe 2014.
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Thesis titled:
"Strategic Planning for Industrial Repairs and Maintenance sector in Peru".
2001-2005
Bachellor's Degree
Bachelor of Science in Systems Engineering.
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Thesis titled:
"A forecasting model for Peruvian Stock Market based on Artificial Neural Networks".
Focused on research in Artificial Intelligence (AI).
SKILLS
Enterprise Architecture
Software Architecture
Machine Learning
Artificial Intelligence Architecture
Big Data Architecture
Deep Learning