Kent Stone

Independent AI/ML architect specializing in GPU kernel optimization, HPC systems, CUDA Runtime/Driver API interception, and physics-informed neural networks. Creator of APEX ML Scheduler, GSIN global seismic forecasting system, and inventor of the Stone Retrieval Function (SRF), a biologically-inspired alternative to RAG. Military-tested problem solver with multi-domain expertise in AI systems, HPC, deep cave exploration, and combat communications.

• GPU kernel optimization
• HPC systems
• CUDA
• CUDA Runtime/Driver API interception
• Physics-informed neural networks
• PyTorch
• TensorFlow
• HIP translation
• Real-time inference
• ML systems
• Parallel computing
• JavaScript
• React
• Ruby on Rails
• PostgreSQL
• Cisco CCNA
• CompTIA A+
• Linux Administration
• Neuro-symbolic systems
• Hyperdimensional reasoning

Student-reported skills, listed on a profile reviewed and published by DSDT College.

Kent’s complete résumé, with contact details, is shared on request. Tell them about the opportunity and they (or a DSDT administrator) will approve or decline.

To protect the student’s privacy, direct contact details are shared once a résumé request is approved.