Kamil Pluciński is a Senior Machine Learning Engineer with 9 years of experience delivering end-to-end ML solutions across industry and research, currently working at deepsense.ai. He specializes in NLP, explainable AI and scalable MLOps, with hands-on experience training large transformers using model sharding and distributed parallelism on IPUs. Kamil has driven projects from client scoping to production—spanning NER, document taxonomy, image segmentation and edge-deployed lightweight CNNs—and contributes to the PyTorch Lightning ecosystem (⚡, Bolts, Flash). A published researcher in trustworthy NLP, he brings both academic rigor and pragmatic delivery, and organizes his work through a long-standing GTD practice (Todoist superuser since 2017).
9 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Poznan University of Technology
Training material for IPU users: tutorials, feature examples, simple applications
Contributions:96 reviews, 44 PRs, 138 pushes in 1 month
training-materialipumachine-learningtraining
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Kamil Pluciński - Senior Machine Learning Engineer at deepsense.ai