Polina Lunina is a Machine Learning Engineer with 10 years of experience combining computer vision, generative AI, LLMs and biotech workflows across research labs, large corporations and fast-moving startups. She has shipped production CV and generative features—from face analysis and verification pipelines and ComfyUI-style GenAI integrations to ResNet-based video super-resolution for cloud gaming—and delivered protein design workflows using RFdiffusion, AlphaFold and ProteinMPNN. Comfortable with end-to-end ownership in startup settings, she bridges model research, data handlers and infra to rapidly move features into production. Her background in formal grammars plus neural approaches to bioinformatics and conference publications underscores a research-driven engineering mindset. Based in Saint Petersburg, she pairs rigorous academic training in mathematics and computer science with a pragmatic focus on reliable shipping and cross-functional collaboration. An uncommon strength is her breadth: fluency in both creative generative systems and biology-oriented ML pipelines.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Saint Petersburg State University
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Polina Lunina - Machine Learning Engineer at Salt AI