import torch; logits = torch.softmax(torch.tensor([1.0, 1.0, 1.0]), dim=0); print(["Hello!", "Hi!", "Hey!"][logits.argmax().item()])
Welcome, fellow machine learning enthusiasts!
I'm Rohan.
I work with Machine Learning and Deep Learning—where models learn, gradients adjust, and sometimes,
training takes longer than expected. Whether it's fine-tuning architectures, making sense of complex
datasets, or optimizing performance, I enjoy the process of transforming mathematical concepts into real-world solutions.
Fluent in Python. Conversational in C++. Rust? Still getting there but loving the pain.
The difference between PyTorch and TensorFlow? PyTorch understands me. TensorFlow makes me read documentation.
Yes, I’ve yelled at AWS billing before.
Linux for real work. Windows for "Do you want to restart now?"
- Model training is just advanced gambling.
- If it works on my machine, that’s all that matters.
- Debugging neural nets = therapy session with gradient descent.
Feel free to reach out! Always happy to chat about AI, cool projects, or why torch.nn should be in the Python Standard Library.