Member
005-110-884
| Chapter: | ABCD-Index Sowftware Engineering Chapter | |
| Region: | United State, United State | |
| Designation: | Member | |
| Links: |
| Name: | Srinivasa Rao Bittla |
| Designation: | Scholar |
| Department: | Software Engineering |
| Research Area: | AI/ML, Micro Services, Cloud Native Applications, Performance and Quality Engineering |
| Organization: | Adobe Inc |
| Contact: | Contact Reviewer |
| Qualification: | Masters |
| About: | Srinivasa Rao Bittla is a distinguished AI and Performance Engineering leader, keynote speaker, and thought leader with a proven track record in AI-driven Quality Engineering, Performance Optimization, and Cloud Resilience. With over two decades of experience, he has pioneered AI-powered automation frameworks, developed scalable performance benchmarks, and led cross-functional teams to optimize large-scale systems for 99.99% availability. As a Senior IEEE Member, IEEE USA AI Policy Committee Member, IEEE Computer Society Member, ACM Contributor, and Forbes Tech Council Member, Srinivasa actively shapes industry discussions on AI, Site Reliability Engineering (SRE), and AI-driven automation. He has been a featured speaker at Conf42, AI conferences, and global software testing summits, delivering insights on AI-driven QA, Chaos Engineering, Predicting System Outages, and Performance Engineering for Cloud & Edge Computing. His expertise extends to AI policy, cybersecurity, and AI ethics, where he contributes as a Globee Judge, ICISCN Conference Session Chair, and MLH Datathon Judge at Rice University. Srinivasa has published IEEE conference papers, patents on AI-driven cybersecurity, and Forbes articles on AI-driven automation, performance engineering, and cloud resilience. He mentors Boston University and Nitte University research students on AI/ML projects, bridging academia and industry innovation. He has also contributed to a workshop on how San Jose State University (SJSU) can elevate its position as a leading Minority Serving Institution in responsible AI research, outreach, and workplace preparedness, advocating for AI ethics, bias mitigation, and workforce readiness through policy recommendations and scalable AI-driven educational initiatives. With a passion for AI robustness, observability, and automation, Srinivasa delivers engaging, research-backed keynotes that empower businesses to leverage AI for scalable, reliable, and ethical decision-making |
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