Candidate profile
Principal Deep Learning & Full-stack Engineer
Description
Alexey is a highly experienced professional with a strong background in Deep Learning, LLMs, and Diffusion models, proficient in PyTorch, CUDA, NumPy, and JAX. He also possesses robust full-stack development skills using SvelteKit, TypeScript, Tailwind, and Drizzle. With 25 years of experience in Linux, including kernel development, and expertise in AWS and Docker, he brings a wealth of knowledge in system architecture and cloud infrastructure. His diverse background includes a Master's in Molecular Biology and Electronics Engineering. Alexey is comfortable with "Agenetic AI" concepts and has demonstrated his capabilities through projects like 'lovely-tensors', 'chat.congusto.ai', 'lovely-docs', and a personal gallery. He is currently nomadic in Colombia and open to remote work, with relocation depending on the opportunity.