Projects
Systems most teams would never attempt to build
Built for environments where software meets physics, infrastructure, and uncertainty
Engineering systems operating beyond standard software environments
Selected projects combining forecasting, autonomy, synchronization, infrastructure, scientific logic, and real-world operational constraints.
Kamerton
AI analytics platforms
Audience intelligence and behavioral analysis using machine learning, forecasting models, recommendation systems, and large-scale real-time data processing.
UAV & aviation
Autonomous aerial systems
Custom UAV systems combining autonomous navigation, stabilization logic, telemetry processing, and hardware-integrated operational control.
IVASI
Ocean forecasting system
AI-powered prediction of fishing zones using environmental models, satellite streams, and multi-source oceanographic data.
Reactor
Enterprise AI automation
AI-assisted enterprise systems using workflow automation, code validation pipelines, orchestration logic, and operational analytics.
Agrobot
Smart agriculture robotics
Autonomous systems for crop monitoring and agricultural analysis using computer vision, hyperspectral data, and real-time environmental sensing.
Mira
Spatial visualization systems
Projection and synchronization systems connecting digital layouts with physical environments using laser-based hardware integration.
Systems designed for imperfect environments
Many projects operate under conditions where standard software assumptions break down.
Real-time synchronization
Systems interacting continuously with sensors, operational streams, embedded hardware, and live infrastructure environments.
Environmental variability
Platforms designed to operate under unstable conditions, changing inputs, imperfect data, and real-world unpredictability.
Hardware integration
Software tightly synchronized with LiDAR, embedded systems, physical devices, telemetry streams, and industrial infrastructure.
Operational reliability
Engineering focused on systems expected to function continuously in production environments, not isolated demonstrations.