Scaena
Scaena — Gallery-Commerce Platform (scaena.art)
A gallery-first commerce experience with PAS-driven messaging, curated collections, community hooks, and conversion-ready flows designed to move visitors from discovery → desire → action.
All Selected Work
Arche Archive/2024
// Engineering Dossier
Arche Archive — Digital Archive & Book Publishing Platform
Arche Archive is a full-stack digital archive and publishing platform engineered to preserve cultural literature, automate book compilation, and provide high-density access to historical manuscripts, catalogs, and literary records.
Client
Arche Archive
Role & Scope
Full-Stack Engineer & Systems Architect
Timeline
2026
Primary Stack
React.js • Node.js • PostgreSQL • Docker
Screenshot 2026-09-08 22041701 / 03
The Challenge
Traditional cultural preservation workflows rely on fragmented, manual toolchains for manuscript scanning, disconnected metadata storage, and tedious layout compilation—causing severe operational bottlenecks and slow publishing cycles.
The Solution
An end-to-end publishing automation architecture uniting a high-performance React catalog interface, PostgreSQL relational metadata integrity, containerized microservices, and automated n8n book compilation pipelines.
// Verified Project Outcomes
- Outcome: End-to-end automated compilation pipeline reducing publication preparation cycle time
- Outcome: Unified keyword search and chapter-level metadata retrieval across structured literary volumes
- Outcome: High-reliability ingestion pipeline protected by Docker containerization and relational consistency
- Outcome: Scalable digital foundation supporting future mobile synchronization and multi-format export
The Challenge: Fragmented Publishing & Cultural Preservation Workflows
Cultural preservation organizations and independent publishers face significant operational friction when digitizing, structuring, and publishing historical literature. Traditional workflows rely on fragmented, manual toolchains: raw text scanning, disjointed metadata tracking in spreadsheets, repetitive typographic formatting, and slow editorial compilation cycles.
Without an integrated data backbone, cross-referencing citations, managing multi-volume editions, and maintaining version consistency across formats risks losing critical historical nuances while dramatically inflating publication costs and preparation time.
Engineering Solution: Integrated Archive & Automated Publishing Architecture
To solve this, I architected an end-to-end digital archiving and automated publishing platform designed for enduring data fidelity and high-throughput compilation:
Core Engineering Pillars
- High-Performance React Catalog Interface: Engineered a low-latency, typography-first web application enabling researchers to search extensive literary catalogs, browse preserved manuscripts, and inspect chapter-level metadata with instant keyword queries.
- Relational Data Architecture with PostgreSQL: Designed a normalized relational schema enforcing strict referential integrity across parent-child volume relationships, authors, editions, chapters, and cross-referenced historical citations.
- Automated Publishing Pipelines via n8n: Built autonomous workflow pipelines that automate extraction, translation/formatting triggers, asset normalization, and multi-format compilation, converting raw digitized texts into structured publications with minimal human intervention.
- Containerized Microservices via Docker: Isolated ingestion workers, pipeline runners, and backend services into Docker containers, ensuring zero environment drift, reproducible builds, and seamless deployment across development and production environments.
The Results & Architectural Impact
By uniting relational data rigor with workflow automation, Arche Archive transformed a fractured, months-long manual publishing workflow into a streamlined digital engine.
- Streamlined Publication Pipeline: Replaced disjointed formatting handoffs with an automated, reproducible compilation engine.
- Unified Discovery: Centralized extensive literary catalogs into a single, high-performance searchable index.
- Operational Reliability: Relational data modeling in PostgreSQL eliminated metadata divergence across editions and volumes.
- Future-Proof Foundation: Standardized APIs and structured schemas provide immediate readiness for mobile reader sync and future export formats.
// Curated Portfolio
