Case Studies
Detailed builds behind production AI systems.
Architecture, infrastructure, model evaluation, and implementation notes from systems built around messy real-world sources.
01
Document Intelligence / OCR / Vision-Language Models
Self-Hosted Multi-Model OCR/VL Document Preprocessing Pipeline
A self-hosted OCR/VL preprocessing pipeline for turning messy technical documents into structured, retrieval-ready data for downstream AI systems.
OCR/VLDocument preprocessingSelf-hosted GPU infrastructureCUDATechnical documentsRetrieval preparation
02
Data Ingestion / Web Extraction / AI-Assisted Structuring
4,000-Link Web Data Extraction Pipeline
A large-scale web data extraction pipeline that filtered roughly 4,000 candidate links, processed valid targets, used discovery fallbacks, and produced structured data for downstream systems.
Web scrapingData extractionAI-assisted extractionSchema validationDeep crawlingJSON pipelines