Tools, Platforms, and Methods
A curated view of the technologies behind the work. Production experience is kept distinct from experimentation and exposure.
Tools
Delivery and experimentation tools used where the problem calls for them
Git, GitHub, and GitLab
Version control, collaborative delivery, and CI/CD workflows across software projects.
Flyway
Versioned database migrations in Spring and PostgreSQL application work.
CI/CD
Automated build and delivery practices associated with professional and personal full-stack development.
Workshop and OSDK
Foundry application and workflow development tools used to turn operational processes into usable interfaces and actions.
Power Automate and Power BI
Enterprise workflow and visualization tools used or explored where Microsoft-platform integration was relevant.
Cytoscape.js, Dagre, and ELK
Visualization and layout technologies explored for a dense systems-of-systems analytical interface.
Tech Stack
Production experience, substantial hands-on use, and qualified platform exposure
Java and Spring Boot
Substantial hands-on use for full-stack services, APIs, integration work, and Army Software Factory delivery.
React and TypeScript
Hands-on frontend and full-stack application work, including the recurring Java/Spring and React/TypeScript stack in the evidence record.
PostgreSQL and PostGIS
Relational and geospatial persistence used with Spring Boot, Hibernate Spatial, and Flyway migrations.
REST APIs
API design and integration across full-stack applications, including a verified Android-to-Spring location endpoint.
Docker and Docker Compose
Containerized development and delivery, including debugging service discovery, database readiness, and startup ordering.
Palantir Foundry / Vantage
Applied workflow and application experience with Workshop, OSDK, ontology-oriented modelling, actions, and automation. Exact production depth is not yet quantified.
SharePoint, SPFx, and Power Platform
Project experience and integration exposure across SharePoint development, Power Automate, and Power BI; project boundaries and production outcomes vary.
Palantir AIP
Applied and proposed use in workflow and decision-support contexts. This is not represented as large-scale production AI engineering.
Environment
Local and offline environments where constraints materially affect the work
Local and offline AI experimentation
Ollama, LM Studio, local quantized models, and coding agents used to explore privacy-aware and disconnected development under finite hardware constraints. This is an experimentation environment, not a production AI platform.