Technical Competencies

• Technology Startup Funding
• Team Building
• Proposal Development/Writing
• STEM Education At All Levels/Ages
• Quantum Modeling and Simulation
• Ab Initio
• Solids, Liquids, and Solid-Liquid Interfaces
• Molecular Dynamics (MD) Simulation
• Reactive MD
• Machine Learning Potentials
• Data Science
• Data Pre-processing
• Data Management
• Data Governance
• Artificial Intelligence (AI)
• Machine Learning (ML), including Deep Learning (DL) and Large Language Models (LLMs)
• Auto-ML (automated training, selection, testing, and combination of multiple types of ML models)
• Time Series Analysis
• Data Mining
• Semantic Search
• Natural Language Processing (NLP)
• Big Data
• Software Technologies
• Programming Languages and Specifications: Python, SQL, R, Java, Scala, JavaScript, 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
• Rules Engine: DROOLS
• RESTful micro-services, SOAP-based web services
• Containerization and Kubernetes Deployment for Cloud Environments
• Virtualization: LXD, Incus
• Analytics Notebooks: Jupyter, Zeppelin
• Analytics Environments: Hadoop, Anaconda
• Ontologies: OWL, Protégé, SWRL