Alek Dimitriev is an inference-focused machine learning engineer with 11 years of experience, currently a Member of Technical Staff at Anthropic after roles at Google where he helped productionize Gemini. He holds a PhD in Machine Learning from UT Austin and earlier degrees from the University of Ljubljana, combining deep research training with hands-on ML systems work. Alek specializes in taking large-scale models from research into reliable production inference pipelines, emphasizing performance and robustness. Based in San Francisco, he bridges academic rigor and industry-scale deployment, and his GitHub presence underscores a practical focus on inference engineering rather than broad consumer-facing open source.
11 years of coding experience
3 years of employment as a software developer
PhD Machine Learning, PhD Machine Learning at The University of Texas at Austin
MSc Computer Science, MSc Computer Science at University of Ljubljana
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