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Hello, I'm Loren C.

I’m an AI​/​ML strategist and practitioner who bridges the gap between complex data science and real-world impact. From building USAA FSB's first AI & Data Strategy for a $126B portfolio to piloting generative AI tools that cut operational time and increased accuracy​,​ I thrive at the intersection of machine learning​,​ transformation​,​ and ethical innovation. After decades of leading high-stakes operations in the military and corporate boardrooms​,​ I transitioned into AI​/​ML not as a pivot but as a purpose. My passion lies in designing systems that are not only technically sound but socially responsible. I’ve trained in deep learning​,​ computer vision​,​ and NLP through Cornell​,​ UT Austin​,​ and HCU—and applied those skills in enterprise and academic settings. Whether creating fine-tuned LLMs to support student learning​,​ deploying AI on Azure​,​ or mentoring professionals on responsible AI integration​,​ I focus on solutions that drive measurable outcomes and long-term value. What I Bring: 🧠 Technical Proficiency: Python | R | SQL | ML & Deep Learning | NLP | Computer Vision | LLMs | Data Science | AI on Cloud 🏛 Strategic Insight: AI Roadmapping | Generative AI Deployment | AI Readiness Programs | Workforce Transformation | Ethical AI Governance 🎯 Results-Driven Impact: Led an AI readiness program across 500+ professionals​,​ boosting engagement and AI adoption Built academic dashboards​,​ bias audits​,​ and performance testing for fine-tuned models on Azure I’m pursuing a PhD in Leadership and evaluation and hold multiple AI​/​ML postgraduate certifications. I fuse technical fluency with strategic leadership​,​ driven by a belief that AI should enhance human potential​,​ not replace it.

Details

  • Number of Years Experience20+ years
  • Education LevelDoctorate

Industry

AI​/​ML Engineering Data Science AI Education & Readiness AI Strategy

Country that I am located in

San Antonio, TX

Specific Countries That I am Qualified In or Can Cover/ Global

San Antonio, TX and Remote

Skills

⚙️ Programming Languages & Tools Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch) R (tidyverse, ggplot2) SQL (PostgreSQL, MySQL) Bash​/​Shell Scripting Swift (basic, for app development) Git & GitHub Jupyter Notebooks, VS Code, PyCharm 📊 Data Science & Analytics Data Wrangling & Exploration Feature Engineering & Selection Data Visualization (Matplotlib, Seaborn, ggplot2, Tableau) Predictive Modeling & Forecasting Statistical Analysis (frequentist & Bayesian methods) A​/​B Testing & Experimental Design KPI & OKR Development 🧠 Machine Learning Supervised & Unsupervised Learning Classification, Regression, Clustering, Recommendation Systems Model Tuning & Cross-Validation Ensemble Methods (Random Forest, XGBoost, Gradient Boosting) Neural Networks (ANNs, CNNs, RNNs) Model Interpretability (SHAP, LIME) 🗣️ Natural Language Processing (NLP) Text Preprocessing & Feature Extraction Sentiment Analysis & Topic Modeling Named Entity Recognition (NER) Text Classification & Summarization Transformer Models (BERT, GPT, T5) Prompt Engineering for LLMs Fine-tuning LLMs (Azure​/​OpenAI) 👁️ Computer Vision Image Classification & Object Detection Convolutional Neural Networks (CNNs) OpenCV for image preprocessing Image generation and augmentation techniques ☁️ Cloud & MLOps Azure (OpenAI Integration, Machine Learning Services, Cognitive Services) Google Cloud Platform (Foundational) AWS (Foundational) Model Deployment & API Integration Workflow Automation Monitoring & Bias Auditing for AI Models 🧠 AI Strategy & Governance Responsible & Ethical AI Frameworks Strategic AI Roadmapping & Implementation Risk & Bias Mitigation in ML Systems ROI Quantification for AI Initiatives AI​/​ML Adoption & Readiness Programs AI Leadership Communication & Executive Education 🛠️ Other Technical Tools Power BI, Tableau (for dashboarding) Excel (Advanced, including Power Query) Firebase, FlutterFlow (App Dev contexts) Notion, Miro, and Confluence (Collaboration Tools)

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