Aleksei Naumov is a Lead AI Research Engineer with extensive experience in AI research and development, currently at Terra Quantum, a leading quantum technology company with more than EUR 100M raised in funding. Aleksei is also a co-author of TQCompressor: Improving Tensor Decomposition Methods in Neural Networks via Permutations, which was presented at the IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR 2024), a leading conference on AI applications for consumer multimedia and Efficient AI, bringing together experts from NVIDIA, Google, Amazon, UC Berkeley, and other industry giants. ​Aleksei has led numerous research projects focused on compressing large language models (LLM) and deploying neural networks on devices with constrained computational resources.