Summary
Pranav Karnani is an AI engineer with nine years of experience building ML-driven systems across finance, enterprise, and manufacturing, currently based in the New York City area while pursuing a Masters in Information Systems Management at Carnegie Mellon. He has contributed end-to-end solutions from real-time anomaly detection pipelines at Societe Generale to production AI roles at JPMorgan Chase and now Chime, blending data engineering, model development, and operationalization. His work has demonstrable impact—reducing color-matching trials by 40% in an R&D internship and cutting churn by 25% through customer-trading analytics—showing an ability to turn complex models into measurable business value. Comfortable with Gaussian Processes, optimization techniques, clustering, and tree-based models, he frequently bridges domain knowledge (optics, trading behavior) with ML to solve practical problems. A pragmatic collaborator, he accelerates teams’ productivity through robust pipelines and automated reporting, and he is completing graduate studies that further sharpen his business intelligence and data analytics toolkit.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Engineering, Bachelor of Technology - BTech Computer Engineering at Vellore Institute of Technology
High School Diploma Computer Science, High School Diploma Computer Science at St. James' School (Kolkata)
Masters in Information Systems Management Business Intelligence and Data Analytics, Masters in Information Systems Management Business Intelligence and Data Analytics at Carnegie Mellon University