Glen MacKey

Background

About Glen MacKey

I specialize in turning messy, real-world data into meaningful insights and actionable products. Whether building machine learning pipelines from scratch or deploying AI-powered tools in production, I bring a rigorous, methodical approach grounded in modeling, inference, and experimentation. My work spans diverse domains — from military and geoscience to pharma, manufacturing, and software consulting. Across each, I’ve demonstrated the ability to thrive independently in technically complex environments, solving ambiguous problems with a mix of curiosity, structure, and creative problem-solving. I'm not just interested in building models — I care about creating reliable, interpretable, and scalable data science systems that drive results. From NLP and agentic AI frameworks to simulation, optimization, and time series analysis, I enjoy bridging theory with practical execution. Technical Strengths & Toolkit Languages & Tools: Python (NumPy, Pandas, SciPy, scikit-learn, Matplotlib, Plotly, spaCy, TensorFlow, PyTorch), SQL, Streamlit, Regex, LangChain/LangGraph, API integration, R, ChromaDB Frameworks / Platforms: LangGraph, Hugging Face, Planisware, Snowflake Machine Learning & AI: Regression, Decision Trees, Neural Networks, LLMs/NLP, Agentic AI Systems, Hyperparameter Tuning Modeling & Analytics: Numerical Modeling, Monte Carlo Simulation, Optimization, Statistical Inference, Time Series Forecasting Data Handling: Feature Engineering, Data Cleaning, Visualization, Real-World Dataset Processing