GenAI & Machine Learning
Engineering Leader
Two decades architecting enterprise-scale AI systems. Pioneering GenAI platforms, predictive analytics, and NLP solutions that drive measurable business transformation.
I'm a results-driven leader in data strategy and AI, specializing in architecting enterprise-wide transformation through data science, machine learning, and Generative AI.
Currently serving as Principal Engineer, Data Science at Verizon, I lead the development of AI-powered solutions that democratize HR analytics for 900+ stakeholders. From building Verizon's first production GenAI platform to engineering 95%+ accurate predictive models, I deliver solutions that directly impact strategic decision-making at the Board of Directors level.
I'm passionate about translating complex technical capabilities into actionable business outcomes -- whether that means quantifying $10M+ in organizational savings, pioneering NLP systems that analyze 63,000+ documents at scale, or mentoring the next generation of data scientists.
Architected Verizon's first enterprise GenAI platform using Google Vertex AI + Gemini
Consistently rated Exceeding/Leading with recommendation for promotion
Mentoring data scientists and accelerating model deployment from 8 weeks to 3
Key achievements that demonstrate the tangible business value of data science and AI leadership.
Savings and business value delivered across multiple HR and L&D programs through rigorous ROI and impact studies.
Enterprise GenAI HR platform delivered real-time, natural-language insights to 900+ stakeholders.
35-point improvement through novel LLM debiasing pipeline, with insights presented to Board of Directors.
Voluntary turnover prediction model (PyTorch + Prophet) enabling proactive workforce planning.
RAG-powered AI summarization agent enabling instant policy retrieval across Verizon's entire HR document library.
Pioneered cause-and-effect analyses that tripled e-commerce close rates for Fios broadband.
Built an AI coding assistant agent (LangChain + Gemini) that accelerated team development speed.
Novel network modeling solution for Smart Scheduler optimized in-office collaboration.
AI Risk Clustering Engine (XGBoost + SHAP) auto-flags Code of Conduct violations, triggering personalized interventions for Legal.
"Scott's GenAI leadership has transformed how Verizon leverages AI for people decisions."
Carlos Moreno Director, HR Operations, Verizon
Enterprise GenAI platform development using Gemini, GPT-4, and Llama. RAG pipelines, agentic workflows, prompt engineering, and fine-tuning at scale.
Predictive modeling, classification, clustering, and time series forecasting. Building production ML systems with 95%+ accuracy for workforce analytics.
Large-scale text analysis across 63,000+ documents. Topic modeling, sentiment analysis, and debiasing pipelines that improved classification accuracy by 35 percentage points.
Rigorous research design, causal inference, A/B testing, and ROI measurement. Quantifying the impact of HR programs with academic-grade methodology.
Building interactive dashboards and self-service analytics platforms. Migrating legacy systems and enabling 1,000+ users with natural language data exploration.
End-to-end model lifecycle management with GitLab CI/CD, Domino, and Airflow. Bias detection, drift monitoring, and ethical AI frameworks.
Open-source tools and experiments spanning MLOps, agentic AI, edge computing, and security.
Production-grade MLOps pipeline with automated drift detection, self-healing retraining, and feature store integration.
Autonomous research agent that plans, searches, synthesizes, and produces cited reports using LangGraph.
Real-time computer vision assistant optimized for edge deployment with ONNX runtime and voice interaction.
Knowledge-graph-powered RAG system for navigating complex regulatory and compliance documents.
AI-driven security operations center agent with automated threat triage, enrichment, and human-in-the-loop escalation.
Interactive Streamlit app for exploratory data analysis, statistical testing, and visualization -- fully offline-capable.
Personal digital assistant integrating Twilio, Claude, and Telegram for SMS-driven AI conversations.
Automated vulnerability assessment tool with CIS benchmark checks, pen testing modules, and anomaly detection.
Real-time speech and text emotion analysis using TensorFlow.js with a React-based interactive dashboard.
ML-gated crypto trading bot using XGBoost for signal confidence scoring and Coinbase API integration.
Offline-first AI coding assistant powered by Ollama and local LLMs for private, air-gapped development.
Cross-platform CLI framework to design, build, and deploy AI agents with 6 LLM providers, 5 agent patterns, DAG workflows, and MCP compatibility.
Southern Methodist University (SMU)
2017 | Dallas, Texas
Professional Certificate | Coursera
2020
Cohort Lead & Participant | Verizon & Coursera
3 Certifications, 2020
LinkedIn Learning
I'm currently open to new opportunities in AI/ML leadership, data science strategy, and enterprise AI transformation roles.
scott@scottseverance.net
www.linkedin.com/in/scott-severance
Dallas-Fort Worth, Texas