Fatih Cagatay Akyon
Fatih Çağatay Akyön is an AI Engineer and Scientist focused on developing advanced computer vision libraries, generative AI for video content safety, and optimized configurations for AI coding agents.
At a Glance
AI Tools by Fatih Cagatay Akyon
(1)
claude-codex-settings
AI Coding Agent Config Files
Discussions
No discussions yet
Be the first to start a discussion about Fatih Cagatay Akyon
Latest News
Products & Services
A popular open-source vision library for performing sliced inference on high-resolution images, widely used for small object detection.
A battle-tested configuration for Claude Code, Cursor, and other AI coding tools, including custom MCP servers and skills.
A suite of products and APIs for sensitive content detection and redesigning the video watching experience using generative AI.
Market Position
Fatih positions his tools at the intersection of high-performance vision inference and developer productivity, offering unique, battle-tested configurations that leverage cutting-edge LLM capabilities.
Leadership
Founders
Fatih Çağatay Akyön
AI Engineer & Scientist at Ultralytics, PhD candidate in Vision Language Models. Creator of the SAHI library with 5.5k+ GitHub stars. Holds 5 deep-learning patents.
Executive Team
Fatih Çağatay Akyön
Founder & CEO (SafeVideo AI), AI Scientist (Ultralytics)
AI Researcher with a focus on Vision Language Models and 5 patents.
Founding Story
Fatih started by addressing challenges in small object detection with the SAHI library in 2021. He later founded SafeVideo AI to innovate in the movie-watching experience and content safety, and created the Claude Codex Settings project to help developers optimize their AI-assisted coding workflows.
Business Model
Revenue Model
API usage subscriptions for SafeVideo AI; Open-source contributions for SAHI and Claude Codex Settings.
Target Markets
- Small object detection in satellite and medical imagery
- Content moderation and parental controls for streaming
- Developer productivity enhancement with AI coding tools