Location: Munich, Germany
Remote: Yes (UTC+2), but I am open to hybrid or on-site.
Willing to relocate: Yes, within Germany or Switzerland
Technologies: PyTorch, PyTorch Geometric, LLMs, CI/CD (github actions), Docker, AWS, GCP, MLOps
Résumé/CV: https://drive.google.com/file/d/1Mw9cBU_yl10wM8H00cAYEIeLzLf...
Email: voloboeff201087@gmail.com
Hi, I am Sergei Voloboev, a machine learning engineer with more than 3 years of experience. I am passionate about graph neural networks, with which I have recently done several projects in Siemens and Technical University of Munich. Currently, I am really interested in computational drug discovery (I recently wrote a review on 2D generative drug models, https://arxiv.org/pdf/2405.05293) and chemoinformatics. However, my expertise also includes other areas of machine learning, such as computer vision and natural language processing, so I am open to projects in these areas as well. I am also fluent in MLOps technologies and can easily learn a new tool stack if needed.
Feel free to contact me, I think I can add value to many machine learning teams :)
Hi, I am Sergei Voloboev, a machine learning engineer with more than 3 years of experience. I am passionate about graph neural networks, with which I have recently done several projects in Siemens and Technical University of Munich. Currently, I am really interested in computational drug discovery (I recently wrote a review on 2D generative drug models, https://arxiv.org/pdf/2405.05293) and chemoinformatics. However, my expertise also includes other areas of machine learning, such as computer vision and natural language processing, so I am open to projects in these areas as well. I am also fluent in MLOps technologies and can easily learn a new tool stack if needed.
Feel free to contact me, I think I can add value to many machine learning teams :)