Robotics Architect | Perception, Computer Vision & Real-Time AI | Autonomous Systems

Computer Vision & Machine Learning

Expertise in OpenCV, PyTorch, object detection including RT-DETR, classification and segmentation, multi-object tracking, stereo and RGB-D vision, and real-time inference on embedded hardware under latency and resource constraints.

Robotics & ROS2 Development

Deep knowledge of ROS and ROS2, Gazebo, real-time perception pipelines, sensor integration, localization and mapping, industrial PLC programming, machine safety systems, and autonomous field systems.

C++ & CUDA Programming

Proficiency in C++ with STL and Boost, CUDA for GPU-accelerated computing, TensorRT for optimized inference, Python, and Linux-based development environments.

3D Targeting & Odometry Sensing

Design and implementation of 3D stem localization and laser targeting systems using stereo imagery, achieving millimeter accuracy on moving machinery in real-time outdoor conditions.

Data & Training Infrastructure

End-to-end data pipelines from field collection through filtering, labeling and model training; on-premise GPU training infrastructure; model deployment and versioning.

PLC-Based Machine Safety Systems

Development and integration of PLC-based machine safety systems for autonomous agricultural robots operating in real-world field environments.

Autonomous Field Robot Platform Architecture

Architecture and hands-on development of autonomous field robot platforms, including mobility, navigation, electronics, and mechanical engineering coordination across multidisciplinary teams.