Full-stack engineer & AI infrastructure architect | NVIDIA P40/RTX 3050 stack | Embedded systems & Linux DevOps
- LLM Research: EAGLE/MTP/speculative decoding/MoE routing | NVIDIA P40 (sm_61) & RTX 3050 (sm_86) GPU workarounds
- AI Infrastructure: Self-built stack with llama.cpp, ComfyUI, OpenCut, custom GPU monitoring (hw_usage.py)
- Tools & Automation: Python/C++ scripts, systemd services, Playwright MCP, Scrapling, Freellmapi routing
- Embedded & Hardware: Arduino R4 WiFi, ESP32, MQTT/Tailscale, OLED displays, HID protocols
ai-dashboard — Real-time GPU/CPU monitoring dashboard with agenda integration and idea generation
ai-influencer — LoRA-based synthetic influencer pipeline with face-consistency for social media
ai-home-assistant-hid-dashboard — Physical Arduino/ESP32 dashboard for local AI hardware monitoring
ai-model-selector — Physical ESP32 controller for intuitive local LLM model selection
- 12 active repositories
- 3,842 commits
- 150+ stars
- 42 forks
- 18 CI/CD pipelines
- 754 cybersec skills scoped
- 2026-09-13 last update