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Software Engineer · AI & Backend Systems

Engineering dependable systems, distributed infrastructure, and intelligent software built for scale.

The Engineering Protocol

How production systems get built

Five disciplined phases from formal constraints to high-throughput dispatch. No guesswork, no brittle abstractions.

EXECUTION PROTOCOLENFORCED
Concurrency Target

Lock-Free / Non-Blocking

Verification Rate

100% Deterministic

01[ANALYSIS & SPECS]
0% Ambiguity

Deconstruction & Formal Specs

Dissect domain bottlenecks, data schemas, memory footprints, and latency budgets before touching code. Define strict interface contracts, error domain invariants, and mathematical guarantees.

02[TOPOLOGY & PIPELINES]
Zero-Copy IPC

Systems Architecture & Data Plane

Design zero-copy memory layouts, deterministic agent DAGs, and decoupled micro-services. Establish backpressure semantics, state-machine transitions, and vector retrieval pipelines.

03[RUNTIME EXECUTION]
Sub-50ms p99

High-Throughput Kernel & Core Loop

Implement performance-critical paths in bare-metal C++, Rust, or optimized asynchronous Python. Exploit hardware parallelism, SIMD instructions, and unified memory architectures.

04[RIGOROUS VERIFICATION]
10,000+ RPS

Stress Testing & Verification

Validate under extreme conditions with fuzz testing, synthetic loads up to 10k+ RPS, memory leak analysis via Instruments/Valgrind, and deterministic LLM evaluation suites.

05[PRODUCTION DISPATCH]
99.99% Uptime

Cloud Orchestration & Telemetry

Deploy with immutable Terraform declarations, Kubernetes Helm manifests, zero-downtime canary rollouts, and OpenTelemetry end-to-end distributed tracing.

Direct Dispatch

Ready to engineer what's next?

Reach out for distributed architecture, high-throughput backend infrastructure, autonomous systems, and software built to perform reliably under production load.

STATUS: AVAILABLE FOR SELECT SYSTEMS ARCHITECTURE & BACKEND ROLES