I build AI-assisted workflow systems, language-input technology, and interactive tools.
I am a principal software engineer and Computer Science PhD candidate at the University of Tennessee at Chattanooga, expected December 2026. My work connects production software architecture, computational linguistics, multilingual input methods, and human-reviewed AI automation.
- Principal-level Python, AI platform, and workflow automation engineering
- RAG, document/workbook analysis, report generation, and inspectable AI workflows
- Computational linguistics,
muLex, multilingual input methods, and gesture-efficient interfaces - Local-first FastAPI tools, APIs, dashboards, and data pipelines
- Browser-based interactive systems and novel input interfaces
- DanMailman.net - professional site with research, publications, and public demos
- Dissertation and language-input research - PhD work on input methods, language technology, and gesture-efficient interaction
- muCiYu and muWords - hosted language-technology demos
- Dissertation source - public TeX/Quarto dissertation repository
- Air Music - browser-based camera and composition instruments built with JavaScript and Web Audio
- Gestural Efficiency Analyses - Python analysis tooling for multilingual input-method research
- OCR Vision Renamer - Python workflow utility for OCR/vision-assisted image renaming
- MTCARS Predictor - compact R/Quarto regression-modeling report
- SCADAVIS - Python SCADA visualization prototype with simulated devices and live plotting
- LinkedIn - professional background, teaching, research, and selected experience
Some of my most recent AI workflow and enterprise automation work is private or employer-owned. I describe that work in resumes and case studies without publishing confidential code, credentials, or data.
High-level examples include:
- AI-assisted workflow automation with explicit state, audit logs, review surfaces, and controlled API/LLM calls
- Salesforce/Apex and Python systems that turn ambiguous operational workflows into traceable, testable automation
- Document, workbook, OCR/vision, and media-processing pipelines with human review and generated report artifacts
- Retrieval-backed mapping and comparison tools for standards, curriculum, source documents, and versioned content
- Executive dashboards and local-first FastAPI tools for KPI review, incomplete-data tracking, and stakeholder-facing analysis