// introduction

C++ systems engineer building tools for performance-critical infrastructure

Focus

tooling, observability, performance engineering

Stack

Lang — C++20, Python, TypeScript, Bash
Perf — ASM, SIMD (SSE/AVX), CUDA
Tools — CMake, GDB, Perf
Infra — Docker, Linux, SQL

Currently

Open to C++ SWE opportunities

// projects

Modern C++/CUDA deep-learning framework, focused on fast prototyping, explicit control over kernels, memory layout, and runtime execution.

Open SourceC++CUDADeep Learning

Single-header C++20 failure-handling framework for low-latency, deterministic, and reliable systems.

Open SourceC++HFTCritical System

Header-only C++ telemetry framework for nanosecond-scale profiling in real-time systems.

Open SourceC++AssemblyCompiler InstructionsHFT

Zero-dependency C++17 2D plotting library

Open SourceC++17SIMDVisualization

Real-time analytics Web-Dashboard for trading.

TypescriptHTMLPythonMonitoringAnalytics

Homelab for Database/Experiments

DevOpsBashSQLRustDocker

Voxel-based Multi-Physics Topology Optimizer

C++C#CMakeSIMD(AVX2/5)PicoGK

Multi-language ASCII call-graph generator for source trees

Open SourceBashStatic AnalysisVisualization

// research notes

ML model for classification of regime-switches. To achieve better Discretionary-tool calibration.

PythonPyTorchXGBoostZero-Shot ForecastingPhase Transition

Binary Decision Tree model for multi-segmentation classification of satellite images.

C++JuliaLibTorchComputer VisionAlternative Methodology
03

GKG

Multi-level knowledge graph for token-efficient LLM code generation

PythonKnowledge GraphLLM

// contact

Available for C++ SWE