davidlong.tech

Projects

Lingua Formula

Educational Technology Platform for Technical Learning and Adaptive Study Systems

2024–Present

Architected and developed a full-stack educational platform designed to improve learning in mathematics, statistics, science, and engineering through active recall, adaptive questioning, and structured conceptual modeling.

Designed a scalable relational data architecture using PostgreSQL to manage interconnected educational entities including courses, lessons, topics, terms, formulas, questions, telemetry events, and exam-reference templates.

Built a production web application using Next.js (TypeScript), Heroku-hosted backend services, and RESTful APIs supporting dynamic lesson delivery, self-testing workflows, and analytics.

Developed a structured JSON import/export pipeline with schema validation for portable educational content deployment across development and production environments.

Implemented telemetry and learning analytics systems to track user engagement, question attempts, lesson progression, and study behavior for pedagogical analysis and platform improvement.

Designed and implemented a block-based lesson authoring system supporting text, mathematical notation, images, inline formative assessment, and mobile-first instructional presentation.

Integrated mathematical rendering technologies including MathJax/KaTeX to support high-quality formula display and symbolic learning workflows.

Created adaptive study tools including:

  • inline active-recall questioning
  • spaced and repeated exposure workflows
  • progress tracking
  • exam-reference sheet generation
  • customizable study templates

Applied Universal Design for Learning (UDL) and accessibility principles, including high-contrast support, image alt-text enforcement, and mobile-friendly instructional layouts.

Developed AI-assisted educational content transformation workflows for converting lecture slides and course materials into structured lesson formats aligned with pedagogical rubrics.

Designed educational models framing formulas as linguistic structures (“formulas as sentences”) to improve symbolic comprehension and conceptual transfer.

Managed deployment architecture and cloud integrations including Vercel, Heroku, PostgreSQL, GitHub CI workflows, DNS configuration, and transactional email infrastructure.

Conducted ongoing research into learning science, cognition, active recall, semantic structure, and human-computer interaction as applied to technical education.

Research Studio

Scholarly Concordance, Manuscript Development, and Structured Research Environment

2025–Present

Architected and developed a full-stack research platform designed to support scholarly concordance creation, long-form manuscript development, structured inquiry, and AI-assisted research workflows.

Designed and implemented a private concordance system for ingesting, parsing, organizing, and searching large textual corpora, including:

  • private PDF upload pipelines
  • structured text parsing
  • contextual paragraph and sentence modeling
  • chapter-aware corpus navigation
  • advanced full-text search workflows

Developed configurable parsing and corpus-cleaning systems supporting:

  • paragraph profile modes
  • chapter detection
  • page-number handling
  • repeated header/footer analysis
  • parse-history tracking
  • metadata-driven text organization for scholarly study and retrieval

Built a manuscript development environment supporting:

  • hierarchical manuscript structures
  • parent/child segment organization
  • research-entry import workflows
  • autosaving editorial interfaces
  • long-form writing management for evolving research projects

Designed metadata-driven research workflows including:

  • prompt-guided writing systems
  • branch and mystery categorization structures
  • AI-assisted research operations
  • relational knowledge organization tools

Architected a hybrid deployment system integrating:

  • Next.js (TypeScript, Tailwind) on Vercel
  • Python/Flask backend services on Heroku
  • PostgreSQL relational databases
  • private AWS S3 document storage infrastructure

Implemented secure authentication, API-routing, and cloud-deployment workflows spanning:

  • Vercel route handlers
  • Heroku-hosted APIs
  • GitHub deployment pipelines
  • token/session authentication systems
  • coordinated production database migrations

Conducted ongoing research into:

  • semantic organization
  • structured knowledge systems
  • AI-assisted inquiry
  • manuscript architecture
  • computational approaches to meaning, classification, and conceptual relationships