Eric Mucicno is a data scientist with a focus in machine learning engineering and research with 2 years of experience in artificial intelligence development. From academic research to real-world solutions, Eric regularly utilizes novel approaches that incorporate AI techniques and statistical computing. With his background in physics and materials science research at the University of Maryland, he has established rigorous research methods that he employs in all of his pursuits. Eric’s AI-focused research topic areas have included:

  • Generative modeling for data extrapolation
  • Long-term memory retention for temporal based AI systems
  • Non-stationary environment traversal for reinforcement learning systems

He has lead teams on full life cycle projects, including roles in diverse product and research initiatives such as:

  • AI autonomous financial trading
  • Web-based content filtering

This blog is an attempt to document some of my progress while Eric learns computer programming and data science. Some of the langauges and libraries Eric has been utilizing include:

  • Python
  • HTML
  • CSS
  • JavaScript
  • SQL
  • Tensorflow/Keras
  • Scikit-Learn