Francisco Abner
Electrical Engineer. CEO & Founder of YOSO-YAi.
Electrician turned EE. I do surgery on open-weights models and measure Energy Per Intelligence on production ARM hardware.
Fluor > Tesla > Meta > YOSO-YAi. The future of labor is compute.
Research Focus
- Energy Per Intelligence (EPI) -- A metric that measures useful intelligence produced per joule of energy consumed
- Model Surgery -- Expert pruning, mixed quantization, attention head removal -- evaluated by EPI on real ARM hardware
- Embedded AI -- Running optimized models on Raspberry Pi clusters and custom PCBs
Open Research
| Repo | Description |
|---|---|
| energy-per-intelligence | Defines the EPI metric. Baseline measurements on Pi cluster. |
| epi-meter | Open-source 4-channel AC power measurement board (RP2350 + ATM90E26) |
| epi-bench | Calculate EPI, plot Pareto frontiers, log power traces, run benchmarks |
| expert-pruning-epi | MoE expert removal measured by EPI (Qwen3-30B-A3B on Pi 5) |
| mixed-quant-epi | Per-layer quantization -- Pareto frontier of accuracy vs energy |
| attention-head-surgery-epi | Attention head removal -- do remaining heads compensate? |
Links
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