3+ years of experience building tensor libraries, deep learning models, and backend tools. Focused on performance, training pipelines, and custom autodiff.
2+ years optimizing low-level tensor operations, AVX2 SIMD acceleration, memory-mapped I/O, and JIT compilation for matrix multiplication and deep learning.
Hands-on with low-level programming, including microcontrollers, binary file manipulation, and memory layouts—applied in performance-tuned neural net pipelines.
Built and deployed full-stack sites using HTML, CSS, JS, and PHP (with PHPMailer). Responsive, clean UI design using Bootstrap 5 and Flask integration for ML apps.
