Mahesh Chaudhari

Mahesh Chaudhari is an assistant professor in the MS in Data Science and Artificial Intelligence program at the University of San Francisco. His research interests include databases, data engineering and cloud computing. Prior to joining USF, Dr. Chaudhari has 11 years of industry experience in managing and leading teams for building autonomous data infrastructure in hybrid cloud environments. He is passionate about data and extracting meaningful information from data. Outside of his research and work, he is interested in trail running and exploring various styles of photography.

• Data engineering
• Cloud computing
• Building autonomous data processing infrastructure

• Big data
• Enterprise integration
• Cloud computing
• Service oriented architecture
• Multiple query optimization
• Events and stream processing

• Director, Data Engineering Concentration (2024-Present)

• Arizona State University, PhD in Computer Science, 2011
• Mississippi State University, MS in Computer Science 2003
• University of Mumbai, Mumbai, India, BE in Computer Science and Engineering, 1999

• Principal Software Engineer, TransUnion
• Chief Architect, Zephyr Health Inc.

• 2nd International Conference of GraphConnect, Graphies Award, “The Most Innovative Graph Application in Healthcare” (2013)

• Bhumika Srinivas, Eren Bardak, Ireri Avila, Jessica Brungard, Yihan Cao and Mahesh B. Chaudhari, Streamlining Social Music Analytics with Distributed Data Processing: Apache Airflow and MongoDB and Spark SQL, 2025 International Conference on Computing, Intelligence, and Application (CIACON 2025), Durgapur, India, July 2025.
• Irene Garcia Montoya, Kabir Nawani, Fred Serfati, Gaurav Goyal, Sai Pranavi Avadhanam, and Mahesh B. Chaudhari, Incorporating Building Data Pipelines in Data-Engineering Curriculum for Supporting Classification Models in Production, Journal of Computing Sciences in Colleges, 40, 10 (July 2025), 49-57 (Proceedings of Consortium for Computing Sciences in Colleges, MidSouth Conference, Clarksville, AR, April 2025).
• Ranjeet Nagarkar, Colin Bennie, Kejia Wang, Mark Lam, Daniel Gonzalez and Mahesh B. Chaudhari, Integrating Multiple Cloud Platforms to Build a Data Pipeline for Recommendation Systems, 7th International Conference on Data Science and Information Technology (DSIT 2024), Nanjing, China, December 2024, pp. 326-330. 
• Mahesh B. Chaudhari and Suzanne W. Dietrich, Detecting Common Subexpressions for Multiple Query Optimization over Loosely-Coupled Heterogeneous Data Sources, Journal of Distributed and Parallel Databases, 34, 2, June 2016, pp. 119-143.
• Mahesh B. Chaudhari, Suzanne W. Dietrich, Jennifer Ortiz, and Spencer Pearson, Towards A Hybrid Relational and XML Benchmark for Loosely-Coupled Distributed Data Sources, Journal of Systems and Software, 109, C, November 2015, pp. 78-87.