# Patrick Loeber - CV & Portfolio > Member of Technical Staff @ Google DeepMind. Specialized in Gemini API, Developer Experience, and AI Engineering. ## Profile Summary I am a Member of Technical Staff at Google DeepMind, focused on building and scaling the Gemini API and Google AI Studio. My work bridges core engineering, model launches, and developer experience. I also enjoy teaching on my YouTube channel, where I explain AI and software engineering concepts. - **Location**: Berlin, Germany - **Status**: Building Gemini API & Google AI Studio ## Socials & Contact - GitHub: https://github.com/patrickloeber/ - LinkedIn: https://www.linkedin.com/in/patrick-l%C3%B6ber-403022137/ - Twitter: https://x.com/patloeber - YouTube: https://youtube.com/@patloeber ## Experience - **Google DeepMind** | Member of Technical Staff (Feb 2025 - Present) - Type: Full-time - Description: Working on the Gemini API & Google AI Studio and helping devs to build with Gemini and Gemma. - **AssemblyAI** | Senior Developer Advocate (Feb 2022 - Feb 2025) - Type: Full-time - Description: Led developer experience, built SDKs, API documentation, and open-source integrations while scaling the AssemblyAI YouTube channel to 140K subscribers. - **python-engineer.com** | Founder (June 2019 - Present) - Type: Self-employed - Description: Teaching programming and AI concepts to 290K subscribers on YouTube and blogging on python-engineer.com. - **Visage Imaging GmbH** | Software Engineer (November 2019 - January 2022) - Type: Full-time - Description: Wrote production code in C++ and Python for the Visage Imaging PACS platform. - **ISO Software Systeme GmbH** | Software Engineer, Computer Vision & AI (July 2017 - October 2019) - Type: Full-time - Description: Developed computer vision and AI systems for endovascular guidance in collaboration with Siemens Healthineers. ## Education - **Friedrich-Alexander-University Erlangen-Nuremberg** | B.Sc. and M.Sc. Medical Engineering (April 2011 - May 2017) - Details: - Final grade 1.4 (= GPA 3.7/4.0) - Specialized in computer science, medical imaging systems, data processing, and machine learning. ## Projects - **Build with Gemini Workshop**: - Code: https://github.com/patrickloeber/workshop-build-with-gemini - Description: A hands-on workshop repository demonstrating how to build intelligent, production-ready applications powered by the Gemini API. - **Gen AI Tutorials**: - Code: https://github.com/patrickloeber/genai-tutorials - Description: A comprehensive collection of practical tutorials, code snippets, and guides for working with generative AI and large language models. - **PyTorch Course**: - Code: https://github.com/patrickloeber/pytorchTutorial - Video: https://www.youtube.com/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4 - Description: Step-by-step beginner-friendly tutorials and notebooks covering deep learning concepts, PyTorch fundamentals, and custom model training. - **ML From Scratch Course**: - Code: https://github.com/patrickloeber/MLfromscratch - Video: https://www.youtube.com/playlist?list=PLqnslRFeH2Upcrywf-u2etjdxxkL8nl7E - Description: A highly educational library implementing fundamental Machine Learning algorithms entirely from scratch using only Python and NumPy. - **Reinforcement Learning Tutorial**: - Code: https://github.com/patrickloeber/snake-ai-pytorch - Video: https://youtube.com/playlist?list=PLqnslRFeH2UrDh7vUmJ60YrmWd64mTTKV&si=YhrK6_QRavIYx7Z0 - Description: An interactive PyTorch implementation of a Deep Q-Learning agent that learns how to play the classic Snake game autonomously. - **Intermediate Python Course**: - Code: https://github.com/patrickloeber/python-engineer-notebooks - Video: https://www.youtube.com/playlist?list=PLqnslRFeH2UqLwzS0AwKDKLrpYBKzLBy2 - Description: A structured course and interactive Jupyter notebooks teaching advanced Python concepts, optimizations, and modern best practices. - **Chatbot With PyTorch**: - Code: https://github.com/patrickloeber/pytorch-chatbot - Video: https://www.youtube.com/playlist?list=PLqnslRFeH2UrFW4AUgn-eY37qOAWQpJyg - Description: A complete walkthrough and code template for building a fully custom, rule-based chatbot using PyTorch and NLP techniques. - **OOP In Python Crash Course**: - Code: https://youtu.be/-pEs-Bss8Wc - Description: An intensive guide and video course teaching Object-Oriented Programming concepts in Python clearly and systematically.