Good luck to everyone in achieving their goals and exploring new paths!

To me it's deep learning compilers since mid 2025. I am a person who can't learn just from reading books, so 80% of time I learn by doing (contribute to PyTorch) and 20% of time I read books (now: Engineering a Compiler from Keith Cooper and Linda Torczon) and talk to LLMs to fill gaps in my understanding.

My main quest now is to build a bridge [0] between PyTorch and universal GPU computing world - which I believe WebGPU might become. What it requires is to build is 1) a runtime for executing PyTorch ATen operations on WebGPU by running WGSL shaders and 2) a compiler, so you can use full PyTorch power with @torch.compile

[0] - https://github.com/jmaczan/torch-webgpu