Jason Augustyn

About Jason Augustyn

Technology leader with over 15 years of experience building data-driven applications. Passionate about building products that push the state of the art in data science, machine-learning, and user-centered design. Energized by continuous learning, hard problems, collaboration, and a shared sense of mission.

Experience

1. Chief Technology Officer

   BluePath Labs (8(a) & SDVOSB)

   Jan 2020 — Present · Providence, RI, US

   BluePath Labs is a research, analysis, and strategy company that combines mission and business insights with advanced technologies to deliver measurable performance improvements for federal, state, and local government agencies- Designed architectures and system designs for AI-driven web applications built using Node.js, Python, Vue, Elasticsearch, PostgreSQL, ClickHouse, FAISS, and Qdrant- Led cross-functional teams of data scientists, ML engineers, and software developers, overseeing product strategy, roadmap execution, and delivery of production-ready AI/ML platforms- Recruited, mentored, and retained multidisciplinary AI/ML, software engineering, and UX teams, fostering a high-performing culture of innovation, collaboration, and delivery excellence- Created and deployed retrieval-augmented generation (RAG) systems using several commercial language models (OpenAI, Anthropic) for multiple use cases and customers- Built LLM-powered ETL pipelines for the U.S. General Services Administration (GSA), using fine-tuned open source models to automate extraction and normalization of Government contract data- Developed an enterprise-scale text extraction and machine translation pipeline combining custom-trained computer vision models for complex document segmentation with Google Cloud Vision OCR and Translate APIs- Established MLOps best practices including automated model validation, performance tuning, continuous monitoring, and pipeline optimization to ensure resilient production systems- Wrote the data governance strategy for GSA’s HiDef initiative—a cross-government shared data environment—emphasizing security, access control, and stakeholder alignment to enable secure analytics at scale across sensitive federal datasets- Served as executive sponsor and advisor on high-stakes customer engagements, regularly briefing senior client stakeholders on AI/ML vision, architectures, and strategic impact.

Education

• Penn State University

  Doctor of Philosophy (Ph.D.), Psychology (Cognitive Science)

Skills

• Analytics
• Program Management
• Concept Generation
• Management
• Analysis
• Science
• Project Management
• Ergonomics
• Research Design
• Human Factors
• Modeling
• Qualitative Research
• Human Performance
• Wargaming
• Human Factors Engineering
• Teaching
• Statistics
• Strategy
• Programming
• Dod
• Data Analysis
• Defense
• Leadership
• Futuregazing
• Training
• Technical Writing
• Oral & Written Communication Skills
• Computer Programming
• Proposal Writing
• User Experience
• Security Clearance
• Strategic Planning
• Systems Engineering
• Government
• U.s. Department of Defense
• Military
• Task Analysis
• Research
• Technological Innovation