Exploring the intersection of Neural Architectures and Signal Intelligence. We engineer the algorithms that define the next generation of autonomy and navigation.
In collaboration with MathWorks, we specialize in high-fidelity Galileo and GLONASS signal engineering, optimizing receiver performance for high-interference environments.
Waveform generator research.
MATLAB-based algorithm design.
GALILEO_SYNC: 100%
LOCK: E1_E5A_E5B
> FREQ: 1575.42 MHz
> DOPPLER_SHIFT: ADJUSTED
KRIA_K26_SOM: ON
TEMP: 42°C | FAN: AUTO
> INFERENCE_LATENCY: 4.2ms
> FPGA_UTIL: 78%
Deploying Large Language Models on specialized System-on-Chip architectures. We optimize neural inference for aerospace applications, focusing on high-efficiency FPGA deployments.
Engineering fully autonomous vision systems that eliminate cloud dependency. By deploying custom YOLOv10 and transformer-based models directly onto edge hardware, we enable real-time analysis without an internet connection.
Privacy First: Data never leaves the local device, ensuring 100% compliance with high-security industrial standards.
Zero Latency: Millisecond-level inference for safety-critical drone and factory surveillance applications.
> OFFLINE_MODE: ACTIVE
> LOCAL_INFERENCE: 120 FPS
> OBJ_COUNT: 04 [DETECTED]
YOLO_V10_ENGINE: READY
LATENCY: 0.002s