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I'm a machine learning engineer at Google, working on [Gemini](https://gemini.google.com) finetuning and inference for teams across [Alphabet](https://abc.xyz). I've been fortunate to work on a wide range of problems, ranging from multimodal capabilities augmentation, to non-generative tasks like text embedding, to automating model hyperparameters and sharding to improve training and inference efficiency.
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Before Google, I did my PhD in machine learning at the [University of Texas at Austin](https://www.utexas.edu/), advised by [Prof. Mingyuan Zhou](http://mingyuanzhou.github.io/), where my research was focused on [Gradient estimation for discrete variables via dependent Monte Carlo samples](https://repositories.lib.utexas.edu/items/b2924809-2671-48ba-b004-5e509f50bcc0). I also hold an M.Sc. and B.Sc. in computer science from the [University of Ljubljana](https://fri.uni-lj.si/en).
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Before Google, I did my PhD in machine learning at the [University of Texas at Austin](https://www.utexas.edu/), advised by [Prof. Mingyuan Zhou](http://mingyuanzhou.github.io/), where my research was focused on [gradient estimation for discrete variables via dependent Monte Carlo samples](https://repositories.lib.utexas.edu/items/b2924809-2671-48ba-b004-5e509f50bcc0). I also hold an M.Sc. and B.Sc. in computer science from the [University of Ljubljana](https://fri.uni-lj.si/en).
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<!-- I'm a machine learning engineer at [Google](https://about.google/), working on large language models. Before that, I did my PhD in machine learning at [UT Austin](https://www.utexas.edu/), advised by [Prof. Mingyuan Zhou](http://mingyuanzhou.github.io/), where I did research in backpropagating through discrete variables in deep learning. I also hold an M.Sc. and B.Sc. in computer science from the [University of Ljubljana](https://fri.uni-lj.si/en).
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Before starting my PhD, I worked on applying machine learning to different domains.
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