I build practical AI-supported workflows for technical marketing, visual archive intelligence, local-first automation, private search, buyer education, and human-in-the-loop business systems.
This GitHub portfolio is a selected technical proof layer for my work in applied AI strategy, digital operations, cybersecurity marketing, and business workflow design.
- Applied AI workflow design
- Visual archive intelligence
- OCR, metadata, and image organization
- Local-first Python automation
- Private search and knowledge discovery
- Human-in-the-loop review systems
- Technical marketing and buyer education
- Cybersecurity and AI implementation strategy
A local-first Python toolkit for image archive analysis, OCR, metadata extraction, duplicate detection, folder audits, and HTML gallery review.
Status: Preparing public-safe version.
A private local tool concept that turns personal writing-history patterns into customized typing, spelling, and writing practice lessons.
Status: Preparing public-safe version.
Offline local search and indexing for large exported conversation archives, with filtering, previews, and reusable knowledge discovery.
Status: Private prototype; public-safe version planned.
- LinkedIn: https://www.linkedin.com/in/nikolaygul/
- Main website: https://nikolaygul.com
- X / Twitter: https://x.com/nikolaygul
- Medium: https://medium.com/@nickgul
This GitHub portfolio is not a full software engineering portfolio. It is a practical applied AI and workflow-design portfolio showing how technical understanding, business judgment, automation, documentation, and human review can work together in real systems.