Jakub Kmec is a machine learning engineer and growth leader with nine years’ experience building and deploying RL and bandit-based systems in production, now leading InstaDeep’s expansion in Australia while still contributing as a senior research engineer. He combines deep technical chops from an MSc in Machine Learning at UCL and engineering studies at Berkeley/Manchester with hands-on experience designing online contextual bandits and end-to-end recommendation pipelines at Exponea. Jakub focuses on off-policy reinforcement learning, causality, and healthcare applications, and has a practical track record of running live ML models at scale and optimizing marketing-level LP decisions. Known for bridging research and go-to-market strategy, he uniquely pairs algorithmic rigor with product and team leadership in the APAC market.
9 years of coding experience
2 years of employment as a software developer
Bachalor's, Engineering, Bachalor's, Engineering at University of California, Berkeley
Bachalor’s Degree, Mechanical Engineering, Bachalor’s Degree, Mechanical Engineering at The University of Manchester
University College London
High School, HL Physics, Mathematics, Chemistry, High School, HL Physics, Mathematics, Chemistry at International Baccalaureate - Åva Gymnasium Sweden
High School, Mathematics, Physics and Chemistry, High School, Mathematics, Physics and Chemistry at BGMH Sučany
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Contributions:42 pushes in 25 days
pytorchnlptransformersartbert
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Jakub Kmec - Australia Expansion Lead at InstaDeep