Recent CS graduate (Sept 2025) with strong ML/AI background and practical experience. Bachelor thesis on alignment in multimodal transformers with dual-stream architecture (ViLBERT). Built legal research assistant with LLMs, cryptocurrency market analysis with autoencoders/LSTMs, distributed computer vision systems, and Deep Q-Learning Tetris AI from scratch. DevOps experience with infrastructure-as-code and monitoring systems. Passionate about deep learning theory and practical implementations.
Looking for ML Engineer, AI Research, DevOps, or Software Engineer roles with ML focus. Particularly interested in transitioning toward MLOps.
Remote: Yes
Willing to relocate: Yes (EU, UK, Switzerland, Norway)
Technologies: Python, PyTorch, C/C++, Java, Deep Learning, Computer Vision, Transformers, LSTMs/CNNs, Reinforcement Learning, Docker, AWS, NixOS, LangChain, Spring Boot
Résumé/CV: https://github.com/cesipy/cv
Email: cesispam0815 (at) gmail (dot) com
github: https://github.com/cesipy/
Recent CS graduate (Sept 2025) with strong ML/AI background and practical experience. Bachelor thesis on alignment in multimodal transformers with dual-stream architecture (ViLBERT). Built legal research assistant with LLMs, cryptocurrency market analysis with autoencoders/LSTMs, distributed computer vision systems, and Deep Q-Learning Tetris AI from scratch. DevOps experience with infrastructure-as-code and monitoring systems. Passionate about deep learning theory and practical implementations.
Looking for ML Engineer, AI Research, DevOps, or Software Engineer roles with ML focus. Particularly interested in transitioning toward MLOps.