PyTorch
PyTorch engineers who understand the difference between research code and a serving pipeline.
- Fine-tuning pipelines for open-weight LLMs with LoRA, QLoRA and full fine-tunes
- Training infrastructure with DDP, FSDP and multi-node setups
- Inference services with vLLM, TGI, Triton or custom CUDA kernels