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Building open-source ML tooling for AMD APUs. Squeezing every FLOP out of hardware the industry forgot about.
I found 3 bugs blocking ML on AMD's newest GPU architecture (gfx1150/RDNA 3.5), built a public PyTorch wheel for it, and root-caused an NPU driver bug on Strix Point (amd/xdna-driver #1257).
Currently prototyping a routing system for CPU + GPU inference on AMD APUs (+ NPU when runtime support lands), using hyperdimensional computing. HDC routing showed 21% throughput improvement in Phase 1 benchmarks.
Rust · Python · Kotlin · JavaScript · C++ · Shell CachyOS · Docker · Chrome Extension API · Vulkan
CEH in Training · HackerOne Researcher · Building AgentSpyBoo Phase 3
- amd/xdna-driver #1257 — NPU driver fails on cold boot for Strix Point (PCI ID
17f0) - CachyOS-PKGBUILDS #1311 — Firmware symlink inversion in
linux-firmware-other - MIOpen gfx1150 — 3 bugs: architecture whitelist, CK crash, workspace=0
- Chrome extensions · 5 published (Claude Wide Chat · Phosphor Green Stylus · CRT Magnifier Lens · Gentle Reader · Claude Voice Reader)
- Android apps · 4 shipped (Retune432 · D-Board · PlateAuth · HingeAxis)
- PyTorch for gfx1150 — built from source for RDNA 3.5
- R.A.G-Race-Router — CPU+iGPU inference routing with NPU path wired
- AgentSpyBoo — Rust AI red team agent
- Learning Forge — applied security learning archive
Former ATP Training Partner (Federer/Djokovic). Yes, really.