These case studies document real automation problems I’ve worked through — from repetitive operational bottlenecks to scalable system design.
Each case focuses on the problem, the approach, and the result — not just the tools used.
When I ran my pet grooming salon, manual check-in was slow and error-prone. I built a digital QR ID system for pets using tools I already had, bringing the total cost to $0. Check-in time dropped from 3 minutes to 5 seconds, eliminated customer confusion, and made the business look cutting-edge. Here is exactly how I did it and how other service businesses can replicate it.
View Case Study →Orchestrating complex data flows between n8n, Supabase, and AI agents using a "Human-in-the-Loop" gate to ensure production-grade security and governance.
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Migration from SaaS-based automation to a self-hosted, Docker-orchestrated n8n cluster to ensure 100% data sovereignty, custom binary execution, and eliminated task-based scaling costs.
View Case Study →A vector-based retrieval architecture designed to eliminate LLM hallucinations by grounding AI responses in verifiable business data using n8n and Supabase.
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Architecting high-speed, servo-driven industrial machinery with zero-fault tolerance. From vacuum leak testers to pneumatic transfer systems, applying mechatronic principles to modern digital workflows.
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Designing a relational schema for veterinary records that links Owners, Pets, and Medical History in a custom CRM environment to eliminate data silos.
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Managing decentralized automation workflows often leads to "fragmentation fatigue." This case study explores the development of the Fabalos Cockpit—a centralized management layer designed to monitor, onboard, and secure multiple client nodes from a single, high-fidelity interface.
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A scalable automation system that ingests news articles, cleans and structures content, prevents duplicates, and prepares AI-ready drafts for editorial review.
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An automation system that classifies and tags Shopify products using NLP-driven logic, eliminating manual tagging while preserving operator control and long-term scalability.
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