Show HN: Gradient-Free ML Algorithm (Available for Contract Work)

Hi HN, I'm Allen Townsend, an independent ML researcher, and I've developed a novel gradient-free machine learning algorithm that enables faster training and inference than traditional gradient-based approaches, especially in scenarios where: Gradients are hard or impossible to compute Simulation or black-box models dominate Speed and stability are critical This method avoids backpropagation entirely, yet achieves competitive results in optimization-heavy tasks. It's well-suited for reinforcement learning, simulation-based systems, and edge deployment use cases. I'm currently looking for contract work to help teams develop custom models using this approach. If you have a tough modeling or optimization problem and want to explore this new direction, I’d love to collaborate. You can reach me at townsendtech2025@gmail.com. Happy to provide examples, benchmarks, or run a quick pilot project. Thanks for reading! — Allen Townsend