Nikolay Gul

Applied AI Workflow Portfolio

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 portfolio is a selected technical proof layer for my work in applied AI strategy, digital operations, cybersecurity marketing, and business workflow design.

Focus Areas

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

Selected Projects

Visual Archive Intelligence Suite

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.

TypeMind — Personal Writing & Typing Intelligence Trainer

A private local tool concept that turns personal writing-history patterns into customized typing, spelling, and writing practice lessons.

Status: Preparing public-safe version.

Local ChatGPT Backup Intelligence

Offline local search and indexing for large exported conversation archives, with filtering, previews, and reusable knowledge discovery.

Status: Private prototype; public-safe version planned.

Professional Links

Positioning

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.