Summary
Deepthi Nagaraj is a product-minded engineering leader with a decade of experience building automation frameworks and customer-focused product experiences, most recently at Hewlett Packard Enterprise where she led developer teams and contributed to AI-driven schema automation. Now pursuing an MEng in Product Management at USC, she pairs technical depth—Python tooling, IoT deployments, crash-reporting debugging—with hands-on product work like analytics dashboards and UX-driven prototypes. As President of the Engineering Management Student Association and a graduate teaching assistant, she blends coaching and stakeholder alignment with classroom leadership. Her career shows a pattern of stepping beyond role boundaries to streamline processes, mentor new engineers, and translate user research into measurable product improvements. Based in the San Francisco Bay Area, she brings a practical belief that great solutions arise from deep empathy for customer experience rather than technology-first thinking. An oft-overlooked strength is her track record of operationalizing diagnostics (e.g., two-stage validation for crash dumps) to make complex systems more reliable and actionable.
10 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Product Management, Master of Engineering - MEng, Product Management at University of Southern California
Bachelor of Engineering - BE, Information Science/Studies, Bachelor of Engineering - BE, Information Science/Studies at JSS SCIENCE AND TECHNOLOGY UNIVERSITY
Master of Engineering - MEng, Master of Engineering - MEng at USC Marshall School of Business