Core Capabilities

Four software capabilities, built for systems that have to survive production.

Computer Vision Systems

Production-ready computer vision for detection, tracking, and scene understanding, built for embedded and industrial deployment.

Perception Pipelines

Pipelines for detection, segmentation, and tracking, tuned for latency, accuracy, and maintainability.

Calibration & 3D Understanding

Camera calibration, depth processing, and visual localization for systems that need reliable geometry.

Edge Inference

Inference stacks with OpenCV, TensorRT, and optimized models on Jetson-class hardware, ready for deployment.

In practice: Delivered RGB-D and multi-camera systems for localization, operator assistance, and perception workflows in constrained real-world environments.

C++ / OpenCV Stereo depth reconstruction
// Stereo depth reconstruction auto sgbm = cv::StereoSGBM::create( 0, 128, 5 ); cv::Mat disparity; sgbm->compute(left, right, disparity); cv::Mat points3D; cv::reprojectImageTo3D(disparity, points3D, Q); // Geometry ready for downstream localization

Technology Stack

OpenCV 4.xTensorRTCUDARealSense SDKOpen3DC++PythonNVIDIA Jetson

Embedded & Edge Software

Embedded Linux, RTOS, and firmware for edge systems: predictable behavior, clean interfaces, maintainable deployments.

Embedded Linux Platforms

Board support, device tree work, update strategies, and production-ready Linux images for field devices.

RTOS & Firmware

Control loops, peripheral integration, bootloaders, and maintainable firmware for STM32- and MCU-class systems.

Integration for Real Deployments

Interfaces, diagnostics, and performance tuning for robotics, mobility, and industrial programs, including regulated and safety-critical environments when required.

In practice: Built software stacks across Jetson, STM32, TI, and Yocto-based platforms for production devices, mobility programs, and industrial edge systems.

C / FreeRTOS Deterministic control task
// Deterministic control task void vControlTask(void* params) { TickType_t lastWake = xTaskGetTickCount(); for (;;) { sensor_read(&imuData); controller_update(&loop, imuData); actuator_write(loop.output); vTaskDelayUntil(&lastWake, pdMS_TO_TICKS(1)); } }

Technology Stack

YoctoLinux KernelSTM32FreeRTOSTI TDA4Device TreeU-BootCANC / C++

Multi-Sensor & Real-Time Platforms

Synchronized camera, IMU, GNSS, and sensor-fusion platforms for recording, calibration, and downstream perception development.

Time-Synchronized Recording

Coordinated capture across cameras, inertial sensors, and positioning sources for reproducible datasets.

Calibration & Sensor Fusion

Intrinsic/extrinsic calibration, temporal alignment, and data preparation for perception and localization teams.

Real-Time Data Products

Pipelines for recording, validation, and export that support downstream model training, analysis, and system tuning.

In practice: Designed capture and calibration platforms on industrial PCs and Jetson for mobility, robotics, and autonomy programs, from timestamping through to data products.

Technology Stack

NVIDIA JetsonIndustrial PCsGNSS / RTKIMU IntegrationOpenCVCeres

Operational Software & Data Pipelines

Backend services, workflow software, and data pipelines that support edge deployments, analysis workflows, and operational teams.

APIs & Background Services

ASP.NET Core and service-oriented backends for device orchestration, data intake, and integration.

Workflow Software

Operator-facing tools for review, casework, and domain-specific processes in enterprise and public-sector settings.

Data Pipelines

Event-driven processing, storage, and reporting paths for high-volume technical data and derived results.

In practice: Built operator-facing and backend software for evidence workflows, data handling, and event-driven processing where reliability and traceability matter.

Technology Stack

.NET 8ASP.NET CoregRPCPostgreSQLRabbitMQDockerC#

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