Summary
Vansh Gupta is a Junior Research Engineer based in Switzerland with six years of experience at the intersection of machine learning research and applied AI. He builds multimodal foundation models for clinical oncology at kaiko.ai and studies linguistic biases in LLMs at ETH Zürich’s LRE lab, bridging rigorous research with real-world clinical and educational applications. His background spans federated learning, graph neural networks for hierarchical time-series forecasting, and adversarial NLP—work that has produced peer-reviewed publications (IEEE TVT, ACL). He has led cross-disciplinary projects including MLOps and code-transpilation research, government grant strategy, and pro-bono NLP for policy analysis with OECD. Comfortable moving models from prototype to applied settings, he combines deep academic training from IIT Delhi and ETH Zürich with hands-on engineering across research labs and industry. An often-overlooked strength is his track record of translating complex ML research into deployable frameworks that prioritize interoperability and clinical impact.
5 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Exchange Student Computer Science, Exchange Student Computer Science at Pohang University of Science and Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at ETH Zürich
High School Diploma Science, High School Diploma Science at N.K. Bagrodia Public School
English, Hindi, French, German