Victor Ähdel is a senior software engineer with 12 years of experience combining a KTH MSc in Machine Learning and a BSc in Computer Science to build production NLP and safety systems. Based in Tokyo, he has worked across Google’s Assistant and Gemini safety teams and now contributes to DeepMind projects focused on reactive safety and the internally referenced "Nano Banana" initiatives. His work bridges research and product, shipping contextual rephrasing and understanding features for conversational AI while applying deep learning expertise from his KTH master’s thesis on homography estimation. Comfortable in both research-adjacent and large-scale engineering environments, he brings a pragmatic approach to aligning model behavior with real-world safety constraints.
12 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Machine Learning, Master of Science (MSc), Machine Learning at KTH Royal Institute of Technology
Contributions:41 commits, 33 pushes, 3 branches in 1 year
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