Engineering Competence Matrix
Technical proficiencies evaluated via system-level debugging, hardware programming, and model implementations.
C++
Real-time systems development, ROS2 nodes, memory management, and hardware interfaces.
Python
AI/ML prototyping, computer vision pipelines, scripting, and data analysis.
ROS2
Workspace setup, pub/sub architecture, custom interfaces, tf2 transforms, Nav2, and micro-ROS.
System Design
Distributed communication topologies, concurrency, state-machine designs, and sensor telemetry structures.
Computer Vision
LiDAR point cloud analysis, OpenCV filters, object detection, and sensor fusion.
TypeScript
Next.js dashboard interfaces, real-time WebSockets UI, and serial data visualizers.
Linux
Ubuntu Server, bash scripting, systemd service configuration, and edge device setup.
Machine Learning
TensorFlow, PyTorch, YOLOv8 inference optimization, and deep learning for robot vision.