IEEE WCCI 2026 Peer Reviewer · ML Researcher · Systems Developer @ Amazon Audible

Systems Developer at Amazon Audible, peer reviewer for IEEE WCCI 2026, and independent ML researcher with work currently under journal review.

I work on resource-constrained machine learning, compiler design, and production systems engineering. From migrating Player Services across AWS regions to building Edge Python, a single-pass SSA compiler and bytecode VM in Rust and WebAssembly (>240 stars, externally sponsored), and proposing uncertainty-aware classifiers for TinyML deployment validated on NASA IMS and SemEval.

Most of what I build is small, fast, and deterministic. Open to collaborations on tiny compilers, selective classification, and embedded ML.

Edge Python is a single-pass SSA compiler and tiered register VM for a sandboxed Python subset, with NaN-boxed values, inline caches, memoization, mark-sweep GC and snapshots. One WebAssembly module runs in browsers, JavaScript runtimes and the CLI.

• Docs (try Edge Python directly in your browser): edgepython.com
• Source: edge-python