Core Capabilities
Four focused software capabilities for production computer vision, embedded edge systems, multi-sensor platforms, and operational backends.
Computer Vision Systems
Production computer vision for detection, tracking, localization, and scene understanding — designed for embedded and industrial deployment.
Detection, segmentation, tracking, and spatial reasoning tuned for latency, accuracy, and maintainability.
Camera calibration, depth processing, visual localization, and reconstruction for systems that need reliable geometry.
Deployment-friendly inference stacks using OpenCV, TensorRT, and optimized models on Jetson-class hardware.
In practice: Delivered RGB-D and multi-camera systems for localization, operator assistance, and perception workflows in constrained real-world environments.
Technology Stack
Embedded & Edge Software
Embedded Linux, RTOS, firmware, and device integration for edge systems that need predictable behavior, clean interfaces, and maintainable deployments.
Board support, device tree work, update strategies, and production-ready Linux images for field devices.
Control loops, peripheral integration, bootloaders, and maintainable firmware for STM32- and MCU-class systems.
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.
Technology Stack
Multi-Sensor & Real-Time Platforms
Synchronized camera, IMU, GNSS, and sensor-fusion platforms for recording, calibration, and downstream perception development.
Coordinated capture across cameras, inertial sensors, and positioning sources for reproducible datasets.
Intrinsic/extrinsic calibration, temporal alignment, and data preparation for perception and localization teams.
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 data products.
Technology Stack
Operational Software & Data Pipelines
Backend services, workflow software, and data pipelines that support edge deployments, analysis workflows, and operational teams.
ASP.NET Core and service-oriented backends for device orchestration, data intake, and integration.
Operator-facing tools for review, casework, and domain-specific processes in enterprise and public-sector settings.
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.