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Compilers & Toolchains
Swift/Clang interop, LLVM codegen, Apple Silicon bring-up. Deep compiler internals that ship in production toolchains.
Systems Engineer
A calm obsession with systems.Compilers, AI infra, and performance.
I design infrastructure that stays readable under load: toolchains that ship, AI platforms with guardrails, and accelerator work that comes with profiling receipts.
Omar Habra
Seattle Marathon - same endurance mindset as debugging
Currently: compilers to production AI
Field notes2026
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 TenstorrentDiffSwarm — multi-agent code review CLIMarathon + 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 TenstorrentDiffSwarm — multi-agent code review CLIMarathon + Triathlon + BJJ discipline
Systems engineering is the art of making complexity invisible.
What I Do
Four domains, one systems mindset
Scroll to move through the work. Each chapter is a compact system: inputs, invariants, receipts.
Why Teams Hire Me
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.
Proof of Work
Receipts, not vibes
Scroll through selected execution. Each card is a concrete thread you can open.
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Swift/C++ interoperability
Implemented getter/setter interop and contributed production compiler reliability tooling across the Swift/Clang toolchain.
Swift PR #40842RISC-V RVV optimization
Tuned LLVM/Clang vectorization and codegen heuristics, then integrated validation and performance workflows into delivery loops.
Production AI platforms
Delivered secure multi-tenant LLM products with RAG pipelines, Bedrock/Claude orchestration, Terraform IaC, and reliability guardrails.
The best infrastructure disappears. You only notice it when it breaks.
Beyond Engineering
Physical discipline that powers consistency
// 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
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Full marathon
Seattle Marathon
First marathon finish after four months of structured training.
Purple belt competitor
Brazilian Jiu-Jitsu
Multiple matches in a single day, adapting under stress.
Olympic distance
Lake Tye Triathlon
Open water swim, bike, and run.
Contact
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.