Systems Engineer

I build the infrastructure that makes software possible.

Compiler internals, low-level performance tuning, secure cloud architecture, and production AI product delivery. From Swift/Clang toolchains to RISC-V optimization, multi-tenant LLM systems, and accelerator model bring-ups.

Seattle, WA · Open to senior/staff systems roles

3+Companies
7+Open source PRs

Current focus

Compilers to production AI
Swift/C++ interoperability shipped in public toolchainsApple Silicon compiler migration + reliability toolingLLVM/Clang RVV optimization with benchmark guardrailsSecure multi-tenant LLM platforms on AWSRAG + pgvector + Bedrock/Claude orchestrationTTNN vision model bring-ups on TenstorrentMarathon + Triathlon + BJJ disciplineSwift/C++ interoperability shipped in public toolchainsApple Silicon compiler migration + reliability toolingLLVM/Clang RVV optimization with benchmark guardrailsSecure multi-tenant LLM platforms on AWSRAG + pgvector + Bedrock/Claude orchestrationTTNN vision model bring-ups on TenstorrentMarathon + Triathlon + BJJ discipline

Four domains, one systems mindset

Compilers & Toolchains

Swift/Clang interop, LLVM codegen, Apple Silicon bring-up. Deep compiler internals that ship in production toolchains.

AI Infrastructure

Multi-tenant RAG pipelines, Bedrock/Claude orchestration, structured outputs, guardrails, and observability at scale.

Performance Engineering

RISC-V RVV vectorization tuning, cost-model optimization, benchmarking, regression coverage, and CI automation.

Accelerator Bring-ups

TTNN vision model implementations on Tenstorrent hardware — MaskFormer, DPT-Large, YOLOS-small with profiling artifacts.

Deep systems depth, plus product execution

Swift + Clang + Apple Silicon

Compiler internals that ship

Built Swift/C++ interoperability across Swift/Clang, supported Apple Silicon compiler migration, and shipped reliability tooling used in daily release workflows.

RISC-V RVV + CI

Performance with hard guardrails

Improved RISC-V RVV workloads with LLVM/Clang cost-model and codegen tuning, backed by benchmarks, regression coverage, and CI automation.

AWS + Bedrock + Terraform

Product-grade AI systems

Designed and shipped multi-tenant AI products end-to-end: ingestion, embeddings, retrieval, orchestration, guardrails, observability, and production deployment.

TTNN + Validation

Accelerator bring-ups

Implemented TTNN vision model bring-ups (MaskFormer, DPT-Large, YOLOS-small) with profiling, validation, and reproducible execution paths.

// PERFORMANCE_METRICS

Endurance builds discipline

Endurance athletics teaches the same lessons as systems engineering: deliberate practice, measurable progress, and staying calm under pressure.

Race Telemetry

Real GPS data from actual races

LIVE_DATA
Loading GPS data...
Marathon finisher with friend holding medal

Full marathon

Seattle Marathon

First marathon finish after four months of structured training.

BJJ competitors on podium with medals

Purple belt competitor

Brazilian Jiu-Jitsu

Multiple matches in a single day, adapting under stress.

Athlete at triathlon finish line

Olympic distance

Lake Tye Triathlon

Open water swim, bike, and run.

Your team needs systems execution? Let's talk.

I'm strongest where deep technical rigor and delivery velocity need to coexist: compilers/toolchains, AI infrastructure, secure cloud architecture, and performance-critical systems.