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DevOpsSvelteKitNumPyLinuxCUDATypeScriptDrizzleDeep LearningLLMDockerPyTorchTailwindJAXAWSDiffusion models

Description

Alexey is a highly experienced professional with a strong background in Deep Learning, including PyTorch, LLMs, and Diffusion models. He is also proficient in modern web development with SvelteKit, TypeScript, and Tailwind, and possesses extensive DevOps expertise, particularly with Linux (25 years), AWS, and Docker. He expresses a desire to return to Deep Learning and is comfortable with 'Agenetic AI'. His past experiences include Linux kernel development, a Master's in Molecular Biology, and Electronics engineering in Shenzhen. He has showcased his work through projects like 'lovely-tensors', 'chat.congusto.ai', 'lovely-docs', and 'pelican.alexey.work'.