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An operations platform that helps Northwind prevent billing issues, preserve complaint context across handoffs, keep customers informed, and recover its backlog.
A from-scratch neural network in Python and NumPy, trained on MNIST with manual backpropagation and independent validation.
From-scratch decision tree and random forest for ATP match prediction, with chronological evaluation, reproducible artifacts, and a leakage-safe feature pipeline.
Real-time collaborative code editor with shareable rooms, live presence, and multi-language code execution.
A from-scratch C++17/CUDA machine learning runtime with tensors, autograd, CPU/GPU backends, mixed precision, neural-network layers, checkpointing, and distributed training.