Summary
Vijay Tadinada is a seasoned data scientist and ML engineer with 11 years of experience and a proven track record of productionizing AI at scale across finance, healthcare, and enterprise platforms. As a VP and senior data scientist, he combines deep ML modeling and causal inference with hands-on MLOps—building Azure and Domino-based pipelines, AKS deployments, Helm charts, and CI/CD to deliver reliable, explainable models. He has led end-to-end Generative AI integrations using GPT-3.5/4 and open-source LLMs, vectorizing knowledge bases and embedding them into Zendesk and UiPath RPA workflows to automate customer operations. Known for bridging teams, Vijay has both practitioner and admin experience in Domino workspaces, provisioning GPU/CPU compute and securing enterprise ML environments. His background spans ML architecture for cybersecurity and large-scale ETL/feature engineering, and he brings a pragmatic focus on Responsible AI and A/B testing to ensure models drive measurable business impact.
11 years of coding experience
11 years of employment as a software developer
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at Southern Polytechnic State University
Master's in Computer Science (Data Science Machine learning), Master's in Computer Science (Data Science Machine learning) at Georgia Institute of Technology
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Mumbai