Summary
deeper is an electrical engineer with eight years of hands-on experience who has pivoted into deep learning and practical work with frameworks like Caffe and TensorFlow. He combines a hardware-rooted understanding of electronics with applied machine learning skills, making him effective at bridging sensor, embedded systems, and ML model development. Known for diving deep into neural network tooling, he brings a pragmatic approach to prototyping and experimentation. Though primarily self-directed in the AI space, his background suggests strong problem-solving across both physical and algorithmic systems.
8 years of coding experience