Vivaswan Jinturkar

Vivaswan holds a Post Graduate Program in Data Science and Artificial Intelligence from Praxis Business School, an MBA in Marketing from BIMTECH, and a Computer Engineering degree from Vishwakarma Institute of Technology, along with certifications from Stanford University (Machine Learning) and Imperial College London (Mathematics of Machine Learning). He has over five years of experience as a data scientist and AI engineer at Subex and Publicis Sapient, solving machine learning use cases across telecommunications and banking, building a no-code AutoML platform, running MLOps for models in production, and shipping AI products like a legacy code modernisation tool that rewrites COBOL into Java using models like Claude, GPT, and DeepSeek. His work has a strong focus on trust in AI, including explainable AI, bias assessment, and model robustness, and before moving into data science, he spent four years in marketing and business consulting, which is why Extrapolate Labs starts with the business problem first, not the algorithm. He has presented advanced research at conferences including PyData Global, ICML, and ICBAI, and published papers including in IEEE.