About

I’m a Senior Data Scientist with over 10 years of experience applying statistical modeling, machine learning, and AI systems to high-stakes domains including cybersecurity, transportation operations, and mission-critical systems. I specialize in translating ambiguous business problems into measurable models, deploying production ML pipelines, and communicating complex results to both technical and non-technical stakeholders.

Experience

Senior Computer Scientist

Southwest Research Institute | October 2024 - Present | San Antonio, TX

• Led development of decision-support ML systems for time-series and event-driven data, applying Random Forests, CNNs, and BiLSTMs to anomaly detection with >95% accuracy
• Designed and deployed multi-agent LLM orchestration frameworks using LiteLLM, MLflow, RAG with ChromaDB, and embedding-based retrieval
• Architected evaluation frameworks for ML and LLM systems, including trajectory-based metrics, constraint satisfaction, and agreement scoring
• Built trust-aware AI systems emphasizing source attribution, human-in-the-loop verification, aligned with NIST AI Risk Management Framework
• Led federally funded projects (>$1M) involving risk-sensitive modeling and stakeholder reporting

Research Computer Scientist

Southwest Research Institute | January 2023 - October 2024 | San Antonio, TX

• Developed unsupervised and semi-supervised models for anomaly detection and protocol inference across automotive, ICS, and satellite telemetry data
• Built secure, production-grade data pipelines for model training, validation, and testing across heterogeneous sensor streams
• Implemented micropatching and resilience frameworks for distributed systems, reducing transmission time by 75%

Expert Failure Analysis Engineer

Tower Semiconductor | May 2019 - January 2023 | San Antonio, TX

• Applied statistical modeling, regression, and classification to identify root causes of manufacturing anomalies
• Built internal SQL-backed analytics systems, reducing turnaround time by 80%
• Delivered >$2M cost savings through data-driven decision making

Senior Process Engineer

Tower Semiconductor | December 2016 - May 2019 | San Antonio, TX

• Applied statistical modeling and root-cause analysis to high-volume manufacturing data, driving $2M+ in cost savings
• Led cross-functional initiatives translating complex technical signals into actionable recommendations

Education

M.Sc. Computer Science | University of Texas at San Antonio | 2024

• Thesis: “Physics-Informed Learning for Scalable Single-Qubit Control Simulations”

Ph.D. Physics | University of Texas at San Antonio | 2016

• Thesis: “In situ Transmission Electron Microscopy Experimentation of Nanostructured Materials”

B.Sc. Physics | University of Texas at San Antonio | 2012

Skills

Decision Science & Modeling Statistical Modeling, Experiment Design, Hypothesis Testing, Risk Modeling, Time-Series Analysis

Machine Learning & AI Scikit-learn, PyTorch, TensorFlow, XGBoost, LSTM, Random Forests, Anomaly Detection, Generative AI, LLM Evaluation, Multi-Agent Systems, RAG, Embeddings

ML Systems & MLOps MLflow, Docker, Airflow, Model Monitoring, Model Validation, Feature Engineering

Data Engineering Python, SQL, Spark, Pandas, NumPy, APIs, Data Pipelines

AI Governance & Trust Explainability, Human-in-the-Loop Systems, NIST AI RMF, Evaluation Metrics