Aaron M. Hosford

Introduction

Highly creative systems thinker and radical innovator with a deep understanding of ML algorithms, theory, and applications. 18+ years of workplace experience – 30+ years counting personal projects. Track record of proven, patent-worthy designs. Seeking senior research or engineering role in Data Science, Machine Learning, or NLP, with a focus on novel algorithm development and/or application to new domains.

• "You learn faster than anyone I have ever met." --A former manager
• Excellent problem-solving, analysis, & critical thinking.
• Strong coding, design, & data skills.
• Focused and clear-headed in the face of extreme problem complexity.

Major Accomplishments

• Co-founder of an Explainable AI startup.
• Patent pending for an anaphora resolution algorithm.
• Contributed to the initial public release and ongoing support of a banking chatbot used by millions of customers of a major bank.
• National Merit Scholar winner with full scholarship to the University of Texas at Dallas.
• Author and maintainer of the open-source XCS Python library, an object-oriented implementation of the eponymous XCS machine learning algorithm.
• Inventor of numerous proprietary machine learning algorithms, including work with deep learning, genetic programming, and reinforcement learning.
• Architect of a proprietary natural language and artificial intelligence system for open-ended reasoning and conversation. (work in progress)

Summary of Technical Skills

Accuracy-based Classifier Systems (XCS) | Algorithm Design | Algorithm Development | Anaphora Resolution | Array Computing | Artificial Intelligence (AI) | Artificial Neural Networks (ANN) | Automated Proof Verification | Automated Theorem Provers | Automatic Differentiation | AWS SageMaker | AWS S3 | Bayesian Modeling | Business Process Automation | C | Classification | Computational Theory | Convolutional Neural Networks (CNN) | CUDA | Cython | Data Annotation | Data Annotation Pipeline Design/Management | Data Mining | Data Science | Database Design | Deep Learning | Dependency Parsing | Discriminative Models | Entity Detection | Evolutionary Algorithms | Excel | Extract-Transform-Load (ETL) | Generative Models | Genetic Algorithms (GA) | Genetic Programming (GP) | Graph Neural Networks (GNN) | Flask | Formal Logic | Fuzzy Logic | Hyper-Vector Computing (HVC) | Information Theory | Intent Detection | Java | JSON | Keras | Knowledge Graphs | Knowledge Representation | Large Language Models (LLM) | Learning Classifier Systems (LCS) | Lisp | Long Short-Term Memory (LSTM) | Lua | Machine Learning (ML) | Mathematics | Metric Spaces | Multithreaded Applications | Natural Language Processing (NLP) | Natural Language Understanding (NLU) | Natural Language Generation (NLG) | NumPy (np) | Ontology | Optimization | Pandas (pd) | Parser Design | Particle Filters | Pillow/PIL | Probability Theory | Python | R | Recurrent Neural Networks (RNN) | Regression | Reinforcement Learning (RL) | Reinforcement Learning from Human Feedback (RLHF) | Requirements Analysis | SciKit-Learn | SciPy | Scripting | Semantic Pointers | SpaCy | SQL | Statistics | Supervised Learning | Symbolic AI | Temporal Differences (TD) | Tensor Computing | TensorFlow (tf) | TensorFlow Probability (tfp) | Theano | Unsupervised Learning

Education

Dual major, Computer Science and Mathematics, 1997 to 2001

University of Texas at Dallas, Richardson, Texas

Awards: National Merit Scholar, Silver Anniversary Scholarship

Note: I completed the core curriculum but was forced to drop out just before graduation due to a disability-related life event. I have the education, but not the degree.

Autodidact and Machine Learning/AI Enthusiast, 1990 to current

Over 30 years of focused self-learning, practice, and experimentation

Relevant Experience

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