Summary
Paras Narendranath is a software engineer with eight years of experience building full-stack and data engineering solutions, currently on the ML Data Platform at Salesforce in San Francisco. He blends strong OOP design and abstraction with hands-on work across Angular frontends, Flask/FastAPI backends, Hadoop ecosystems, and AWS migrations. His background includes production-focused roles at Goldman Sachs and internships in ML and production software, giving him both enterprise-scale data pipeline experience and product-oriented engineering chops. A USC CS graduate and former student leader, he pairs rigorous academic training and high academic performance with a penchant for data analytics and elegant, well-abstracted code.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Southern California
Bachelor of Technology, Information Science, 9.6/10 | 3.93/4, Bachelor of Technology, Information Science, 9.6/10 | 3.93/4 at B. M. S. College of Engineering