II — The Work
Compilers, AI infrastructure, and the systems underneath.
Swift–C++ interop shipped at Apple. 2× RISC-V vector speedups at SiFive. Now building production LLM platforms and shipping open-source model bring-ups for AI accelerators.
2×
RISC-V Speedup
SiFive · LLVM RVV codegen
1,000+
Apple Projects
Adopting Swift–C++ interop
500+
Concurrent Users
Production LLM tutoring
40%
Latency Cut
GenAI inference pipeline
RedlineAI
Privacy-first macOS app for AI contract review. Flags risky clauses with severity scoring; every finding verified against source text.
- Used daily by startup legal teams for NDAs and vendor contracts
- Source-grounded verification on every finding
- Severity-scored clause risk with jump-to-evidence UX
DiffSwarm
Homebrew-installable multi-agent PR review CLI. Parallel AI agents hunt concurrency, security, and logic defects; a judge agent cross-verifies.
- Runs locally via BYOK architecture — no code leaves your machine
- Specialist agents propose; verifier agents refute with diff-anchored evidence
- Only consensus issues with evidence make the final report
AI Tutoring Platform
End-to-end ownership from concept to 500+ concurrent users: RAG pipeline, LLM orchestration, Next.js frontend, multi-tenant AWS.
- 99.5% answer stability across curriculum updates via Pydantic structured outputs
- 70% faster deploys with Terraform-managed multi-tenant AWS
- pgvector RAG pipeline with Bedrock/Claude orchestration
Tenstorrent TT-Metal
TTNN model bring-ups for modern vision architectures on Tenstorrent Wormhole accelerators. End-to-end pipelines with validation and perf artifacts.
- MaskFormer Swin-B hybrid TT decoder + perf artifacts (PR #32335)
- DPT-Large (MiDaS 3.0) depth estimation bring-up (PR #33123)
- YOLOS-small object detection bring-up (PR #32500)
GenAI Visual Processing
Latency and reliability work on a production GenAI image pipeline — intelligent caching, throughput tuning, and regression-catching evaluation.
- Intelligent caching + throughput tuning on the inference path
- Evaluation harness caught model regressions before they reached production
RISC-V Vector Codegen
Tuned Clang/LLVM vectorization cost models and RVV codegen heuristics for RISC-V. Built the microbenchmark suite that prevents regressions.
- Tuned vectorization cost models for RVV
- Microbenchmark suite gating every compiler release
- FreedomStudio IDE analysis tooling + Ansible CI
Swift ↔ C++ Interop
Shipped Swift–C++ interoperability across the Swift/Clang toolchain — AST bridging, ABI integration, name mangling — adopted by 1,000+ internal projects.
- Contributed upstream to Swift Evolution
- Led Apple Silicon (arm64) compiler migration with zero-regression rollout
- 60% faster regression detection via cross-arch CI
III — The Athlete
Outside work, same operating system.
Marathons, Olympic-distance triathlons, BJJ podiums. The discipline is identical — train the system, log the telemetry, ship the result.
0.0 mi
Marathon
Seattle · 2024
0.0 km
Olympic Triathlon
Swim · Bike · Run
0
Podium Finishes
BJJ tournaments
0+ m
Elevation Gain
Olympic NP summits

Seattle Marathon · 26.2 · Finish
Every mile, logged. Every finish, earned.
IV — The Proof
Every finish line earned.

BJJ Tour — Podium
Seattle · 2024

Open-Water Swim
Lake Tye · 1.5 km

Seattle Marathon
26.2 · 2024

Olympic Triathlon
Lake Tye · 2024

Seafair Triathlon
Seattle · 2024

Glacier Meadows Summit
Olympic NP · 1,500 m

Finish Line · Friends
Seattle · 2024