Technical Competencies

Responsible Artificial Intelligence (AI) for the Organization/Enterprise

• Mentoring and Training
• Best Practices for AI Use
• AI Risk Assessment
• NIST and Related Privacy and Security Regulation and Assessment Frameworks

Data Science

• Data Pre-processing and Extract Transform Load (ETL)
• Data Management
• Data Governance
• Anomaly Detection
• Artificial Intelligence (AI)
• Explainable Artificial Intelligence (XAI)
• Knowledge Engineering
• Development of Rules-based Expert Systems
• Machine Learning (ML), including Deep Learning (DL) and Large Language Models (LLMs)
• Feature Engineering, Extraction, Reduction, and Selection
• Auto-ML (automated training, selection, testing, and combination of multiple types of ML models)
• Time Series Analysis
• Analysis of Multivariate Trajectories
• Data Mining
• Semantic Search
• Natural Language Processing (NLP)

Modeling and Simulation

• Epidemiological and Other Public Health Modeling
• Constructive Simulation for Defense and Other Applications
• Physics-based Modeling
• Quantum Modeling and Simulation

Education

• STEM Education At All Levels/Ages
• AI Education for Multiple Levels

Architecture and Interfaces

• Enterprise Architecture
• Architecture Viewpoints and Models
• Unified Modeling Language (UML)
• Model Based Systems Engineering (MBSE)
• Systems Modeling Language (SysML)
• Service Oriented Architecture (SOA)
• Web Services Definition Language (WSDL)
• Microservices Design
• RESTful Services/OpenAPI
• Frameworks and Approaches for Containerization and Orchestration

Software Technologies

• Programming Languages and Specifications: Python, SQL, R, Java, Scala, JavaScript (including specialized libraries, such as Angular), HTML, XML, WSDL, SOAP, JSON, REST, C, C++, FORTRAN, LaTeX
• Relational Databases: MySQL, PostGreSQL, Oracle, SQL Server
• Non-relational (NoSQL) Databases: OpenSearch, HBase/Phoenix, Hive, Druid
• Data Management Libraries: Pandas
• Machine Learning Libraries: Sklearn, Spark/MLLIB, TensorFlow, PyTorch, a variety of specialized time series analysis libraries
• Visualization: MatPlotLib, GnuPlot, D3, Specialized libraries for pivot tables and other analytics
• Analytics Notebooks: Jupyter, Zeppelin
• Analytics Environments: Anaconda, Hadoop
• Inference: Rules-based (forward and backward chaining), Probabilistic, Fuzzy
• Rules Engine: DROOLS
• Ontologies and Other Semantic Web Technologies: OWL, Protégé, SWRL
• RESTful micro-services, SOAP-based web services
• Containerization and Kubernetes Deployment for Cloud Environments
• Hadoop and Other Big Data Technologies
• Virtualization: LXD, Incus

Project-specific Leadership

• Team Building
• Mentoring and Training
• Proposal Development/Writing
• Presentations
• Project Management