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)