Thoughts & Writings
Exploring the intersection of deep learning, embedded systems, and technology trends.
A deep dive into quantization and pruning techniques to fit complex computer vision models onto resource-constrained STM32 and ESP32 devices.
Lessons learned from designing a power distribution and motor control board for a Jetson Nano-powered ROS rover navigating unmapped terrain.
Comparing the performance and latency of 1D CNNs against lightweight Transformers for classifying high-frequency EEG sensor data on the edge.
My journey from soldering circuits to training PyTorch models, and why a hardware background gives you a unique perspective in the AI space.