Volodymyr Shulakov
Complex problems require elegant solutions

Synzetic
Software testing fails when realistic data doesn't exist. Teams waste time creating mock datasets or risk using production data inappropriately.
A synthetic data generation platform that produces realistic test data on demand. Novel algorithms ensure statistical accuracy while maintaining privacy compliance.

Spatial Audio Hardware
Immersive audio experiences require expensive specialized equipment, limiting accessibility for most users and applications.
Custom hardware that transforms any standard headphones into a 7.1 surround sound system. Real-time processing algorithms handle spatial positioning with minimal latency.

High-performance Voxel Engine
Open-world games struggle with rendering massive environments efficiently. Traditional approaches fail to scale with world size and detail complexity.
A voxel rendering engine that handles infinite worlds. Direct Vulkan implementation maximizes GPU utilization across hardware generations.
Audio Virtualizer
macOS lacks native spatial audio processing for standard applications, forcing users to purchase dedicated software or hardware solutions.
System-level audio processing that intercepts and spatializes any audio stream. Maintains compatibility with existing applications while providing immersive sound positioning.
Entity Data
Game engines suffer from poor performance due to cache-unfriendly object-oriented designs and unnecessary heap allocations.
A data-oriented entity component system with zero-cost abstractions. Memory layouts optimize for cache efficiency while maintaining ergonomic APIs for rapid development.
High-Quality Tabular Data Generation using Post-Selected VAE
doi.org/10.48550/arXiv.2407.13016Development of fuzzified neural network for enterprise bankruptcy risk estimation
Technology audit and production reserves, 3(2 (77)), pp.19-22
doi.org/10.15587/2706-5448.2024.306873Developing a neuro-flexible mechanism of bankruptcy risk estimation based on conditional parameters
Technology audit and production reserves, 4(2 (78)), pp.20-23
doi.org/10.15587/2706-5448.2024.309963