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Principal Deep Learning & Full-stack Engineer

SvelteKitNumPyLinuxCUDATypeScriptDrizzleDeep LearningLLMDockerPyTorchTailwindJAXAWSDiffusion models

Description

Alexey is a highly experienced professional with a strong background in Deep Learning, LLMs, and Diffusion models, utilizing technologies like PyTorch, CUDA, NumPy, and JAX. He also possesses extensive expertise in front-end development with SvelteKit, TypeScript, and Tailwind, and robust system administration skills with 25 years of experience in Linux, AWS, and Docker. Alexey is open to both short/long-term contract or full-time positions, with a preference for Deep Learning roles. His diverse background includes Linux kernel development, a Master's degree in Molecular Biology, and Electronics engineering.