

I graduated in Computer Sciences with a focus on Mathematics and Process Control (Statistics, Modeling, Simulation, Optimization). My dream was to fully automate a process, receiving real-time information, evaluating a model, and sending back control signals optimized to achieve a predefined goal. I loved Mathematics, and Computer Programming was the tool to fulfill my dream, but I ended loving both. As always, dreams are incomplete, and I discovered I needed to be closer to the hardware and cables. Therefore, I studied and applied embedded development and structured cabling. Years later, I learned how to integrate all the technology for smart buildings. Right now, I have a lot of experience working with different programming languages, databases, and technologies. My focus is on developing enterprise applications and staying updated on the latest technologies, like Deep Learning to have full control over the process. Even when I developed my own Statistical packages and Neural Networks, and used SPSS, SAS, and other traditional statistical packages, now there are better neural network architectures, many open-source tools and languages, innovative data visualizations, and social media requires processing unstructured data requiring Natural Language Processing. So, I started learning about modern Data Mining, Business Intelligence tools like Tableau and PowerBI, Python and its applications to Deep Learning, Keras, TensorFlow, SystemML, Azure AI, IBM Watson, visualizations like those of D3js, and databases like Azure SQL with Polybase for distributed storage and processing of the big data. Currently, my wife and I are creating a Master's program for teaching Probability and Statistics, Machine Learning, Deep Learning, and related subjects with Python and a computational focus.
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Virtualization
Database Programming
System Administration
Proficient in [Language]
Software Documentation
Programming
Testing and Debugging
Research and Development
Analytics
Technical Writing
Product Development
Troubleshooting
Algorithm Implementation
Technical Analysis
Software Applications
Technological Integration
Hardware and Software Installation
Performance Improvements