I am Aravind Cheruvu, a graduate student (MS + Ph.D.) from the Dept. of C.S. at Virginia Tech. I am advised by Dr. Bimal Viswanath.
I look into the security aspects of Generative AI models. I have experience working with GANs, and diffusion models in the vision domain and state-of-the-art Large language models (LLMs) in the text domain. I am currently investigating toxicity injection attacks and mitigation in open-domain chatbots.
I have completed my Bachelors in Information Technology in 2016 from VNR VJIET, Hyderabad (affliated to JNTU) where I have gained research experience in the areas of Temporal Data Mining and Network Security.
Apart from my research experience, I have 4.5 years of work experience as a Oracle payroll implementation specialist at Deloitte Consulting. I have worked on several large scale projects with several US-based clients.
Ph.D. in computer Science (M.S. along the way)
Aug 2021 - Present
CGPA: 3.71 *
Graduate courses: Data Analytics, Deep Learning, Hot Topics in Security and AI, Theory of Algorithms, Advanced Machine Learning, Security risks of Generative AI
Bachelors in Information Technology
Sep 2012 - May 2016CGPA: 8.51/10.0 "Gold Medal for best outgoing student from the Department of I.T."
Certified Techno-Functional payroll consultant with 4.5 years of experience in RICEF delivery and Payroll data analysis working for many US based large scale clients in the Financial, Health, Security and Government sectors.
Jun 2021 - Jul 2021
Planned and executed Payroll compare and Provider Compensation compare cycles for Healthcare client with 120k+ workforce using a custom tool designed to compare compensation rules for providers pay between Legacy and test system.
Sep 2018 - Jun 2021
Payroll Reconciliation: Led planning and execution of Payroll Compare cycles to analyze $MM payroll data working closely with multiple stakeholders, identify system implementation defects, Go-Live and Post Production impacts mitigating risks of Production Go-Live.
Developed and streamlined Payroll Compare Tool which uses payroll run data between Legacy and simulated Test systems to produce Payroll Compare reports and Executive Dashboards to extensively perform Payroll data analysis and understand system quality.
Payroll RICEF: Supported payroll configuration, Coordinated and executed SIT and UAT testing cycles and proposed functional design solutions for nearly 30 RICEF objects.
Dec 2016 - Aug 2018
Technical Developer: Worked as a Technical team member implementing key out-of-box integrations using HCM Extracts, BI Publisher Reports and developed Payroll Fast Formulas.
Assistant System Engineer - Trainee
Jun 2016 - Sep 2016
Trained in E-Business Suite, Oracle Business Intelligence EE and Oracle Data Integrator tools.