👋 Hello, welcome to my repo!

Calvin Fei is a Machine Learning Engineer at AWS Annarpurna Labs, with expertise in Large Language Models (LLM), Deep Neural Networks (DNN), and High Performance Computing (HPC).

Calvin Fei is a Machine Learning Engineer specializing in large-scale ML systems, LLM inference infrastructure, and accelerator-aware model optimization. He holds a Master’s degree in Computer Science from Cornell University.

At AWS Annapurna Labs, Calvin works on AI/ML systems prototyping and performance optimization, collaborating with strategic customers to port and optimize large-scale deep learning models on AWS Trainium and Inferentia. His work focuses on LLM inference systems, model efficiency, and hardware-aware optimization, enabling teams to deploy high-performance models on specialized AI accelerators.

His expertise spans the full LLM systems stack — from model architectures and inference pipelines to accelerator-level kernel optimization. He has extensive experience optimizing throughput, latency, and hardware utilization for production-scale ML workloads using PyTorch, CUDA, Triton, and C/C++, and has worked with modern high-performance serving frameworks such as vLLM and TensorRT-LLM.

Calvin is particularly interested in advancing scalable LLM systems, high-performance inference infrastructure, and next-generation AI compute platforms, bridging model architectures, ML systems software, and accelerator hardware.

• Machine Learning Engineer
• Applied Scientist

• ⚙️ MiniTorch -- a mini-version of core PyTorch modules

• 🏭 Transformer -- a decoder-only character-level transformer for text generation

• ✨ AssetGPT -- an LLM-powered financial analyst platform

• ⛳ LLM Red Teaming -- a LLM-powered red teaming platform

• 🏙 CNN Classifier -- a CNN-driven architecture style classifier

• 🚘 DQN Route Planner -- a DQN-driven route planner