Teams at Metamorphic Additive Manufacturing Ltd

Build scalable agentic frameworks and reproducible experimental pipelines that integrate frontier multimodal models with rich neuroscience data. Implement orchestration, MLOps, and cloud infrastructure, balancing research and production engineering on a small collaborative team.

Optimize training and inference performance of foundation models by writing and tuning CUDA/Triton GPU kernels, profiling and removing bottlenecks, implementing low-precision and mixed-precision strategies, optimizing MoE routing and expert dispatch, integrating high-performance libraries, and collaborating closely with researchers to translate model ideas into scalable, efficient implementations.

Design and build an end-to-end, high-throughput dataloading stack for massive multimodal datasets: formatting, preprocessing, filtering, sharding, caching, and streaming data to distributed GPU training with observability, reliability, and performance benchmarking.