Architecting High-Performance Systems & Native Interop Engines. Focused on the intersection of managed runtimes (.NET 8) and high-concurrency native logic (C++17). Specialist in ARM64 (Apple Silicon) optimization and Zero-Leak memory safety.
Featured Engineering: Case Conversion Engine
A polyglot service demonstrating low-latency native interop and hardware-aware scaling.
- P/Invoke Mastery: Built a C-style ABI wrapper to bridge managed .NET code with a high-performance C++ engine.
- 1M Request Milestone: Successfully validated system stability through a 1,000,000 request soak test with 100% success rate and '< 20MB' memory delta.
- M2 Optimization: Orchestrated 4-replica clusters via NGINX to match the physical P-Cores of the M2 chip, achieving 7,067+ req/s.
- Zero-Leak Policy: Implemented strict "Callee-Allocates, Caller-Frees" memory contracts for zero-drift native execution.
I specialize in bridging the gap between high-level application logic (.NET 8) and low-level execution (C++17/20). My engineering philosophy is simple: "Software is details. Performance is physics."
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Distributed Observability: Currently building cross-process tracing systems using OpenTelemetry and Jaeger to provide deep visibility into native P/Invoke call stacks.
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Systems Evolution: Mastering Rust-based memory safety to complement and modernize legacy C++ native engines.
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Hardware-Aware Orchestration: Optimizing container density by matching Docker replica counts to the physical Performance Cores of Apple Silicon (M2).
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Native Interop Mastery: Solving bottlenecks in P/Invoke pipelines and managing ARM64 thread residency for high-throughput microservices.
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Mentorship & Best Practices: Driving the adoption of modern C++17/20 standards and Rust-based memory safety to modernize legacy native foundations.
"Software is details. Performance is physics."