I build performance-oriented software at the intersection of systems programming, graphics, scientific computing, and biomedical research.

My work focuses on:

• Modern C++ and low-level systems architecture
• Vulkan / GPU-oriented computation
• High-performance numerical and scientific simulation
• Biomedical data analysis and computational physiology
• Computer vision and real-time inference pipelines

I am particularly interested in problems where software architecture, numerical modeling, and real-world scientific questions meet.

Developing an in-silico research framework for studying mechanical perturbation of cardiac re-entry dynamics in heterogeneous tissue.

Current work includes:

• OpenCARP-based electrophysiology experiments
• Scar-mediated / anatomically anchored re-entry
• Mechano-electrical feedback
• Mechanosensitive ion-current models
• Rotor / re-entry termination analysis
• Calcium-dynamics and electrophysiological safety constraints
• Custom C++ simulation infrastructure for future large-scale experiments

The long-term goal is to investigate whether targeted, non-destructive mechanical stimulation can disrupt pathological re-entry without relying on conventional high-energy electrical shocks.

Building low-level software with:

• C++20
• Vulkan
• OpenGL
• GLSL
• CMake / Ninja
• Linux
• multithreading
• memory-conscious architecture
• numerical optimization
• GPU-oriented workflows

I also maintain and develop PyEngine, a custom C++ / Vulkan engine focused on low-level rendering architecture and performance.

Research and engineering work involving:

• Python / PyTorch
• OpenCV
• real-time computer vision
• physiological signal processing
• clinical datasets and biomedical data
• C++ acceleration of Python-heavy workloads

Current projects include research-oriented biomedical simulation, physiological signal analysis, and real-time vision systems.

Computational cardiac electrophysiology and mechano-electric feedback research.

Focus: re-entry dynamics, heterogeneous tissue, mechanosensitive currents, numerical simulation.

Real-time aircraft damage detection pipeline designed around C++20, TensorRT, ONNX and NVIDIA Jetson-class deployment.

Focus: computer vision, inference optimization, edge AI, GPU pipelines.

Custom C++ / Vulkan engine built from scratch.

Focus: rendering architecture, GPU resource management, shaders, multithreaded command generation, and low-level performance.

I like building software from the lowest practical layer and documenting what I learn.

Current open-source work includes:

• Vulkan / OpenGL learning resources
• graphics programming experiments
• C++ systems projects
• scientific simulation tooling
• performance-oriented utilities

Build the model. Challenge the assumptions. Measure the failure. Optimize only after the mechanism survives.