Rajesh Pasupuleti, PhD

Rajesh Pasupuleti, PhD

Rajesh PasupuletiAssistant Scientist, IDSC Advanced Computing
Phone: 415.799.8154
Office: 600.20, Gables One Tower
Email: rxp1166@miami.edu

Dr Rajesh Pasupuleti is working as an Assistant Scientist at the University of Miami Frost Institute for Data Science and Computing (IDSC), on the Advanced Computing team. He did his Ph.D. in the area of Privacy Preserving Data mining analysis from Jawaharlal Nehru Technological University, Hyderabad, and has three major backgrounds of knowledge with a Ph.D and M.Tech in Computer Science and Engineering, Mathematics, and Statistics. Dr. Pasupuleti worked as a Data Scientist for System Soft Technologies in California, under the Elysium project (Threat detection analysis using ELK Stack). He also worked on the “Network Forensics Investigation in Virtual Datacenters” project at Northern Illinois University, in Dekalb. He had a role as Academic Outreach Advisor at Ureka Groups Dubai’s Technology Entrepreneur Centre in London. Additionally, he worked as an Associate Professor for K L University and VVIT Guntur.

Dr. Pasupuleti has 15 years of experience in Data science, AI, ML, Cybersecurity, Supercomputers, Containers, LLM Chatbot applications, LLM Enterprise Application Development and performed various roles in Industry, Academic, Research and Administration. His research interests include Generative AI , Large Language Models, and HPC Systems.

IDSC Implementations

  • Developed Open AI LLM Chatbot for providing better HPC services to IDSC Supercomputing Researchers and Faculty.
  • Done Implementation and Documentation on HPC Based Machine learning container applications like python Script, GUI Jupyter Notebook, Interactive applications using MATLAB and R, GUI R Studio Server, TensorFlow, PyTorch, LSF Job with singularity CPU, GPU access on pegasus HPC cluster nodes, running Nextflow MCMICRO, custom configuration, nf-core modules. Evaluated performance with CPU and GPU container applications.
  • Developed and deployed Capstone Web application project in Linux VM using XAMPP, PHP, MySQL.
  • Created a Sylvester, Pegasus, Triton cluster resource utilization and Visualization dashboards on Service Units, CPU, Memory units, project, queue, Users wise using Power BI, Tableau, Grafana, PostgreSQL.
  • Tested Rasa Chatbot along with GUI for HPC based interactive conversational applications. Installed and Tested Delta Lake and make a Documentation related to FSR Project.
  • Presented two posters on IDSC day on generative AI threat detection analysis and HPC Based Container applications.
  • Attended Super Computing Conference (SC23) and shared the knowledge about new technologies approaches to IDSC team members.

Certifications

  1. Snowflake certification on “Hands on Essentials – Data Warehouse”
  2. Done Kubernetes cloud Native associate certificate by Linux Foundation
  3. Done Certificate on “NVIDIA Deep Learning Institute Building Transformer-Based Natural Language Processing Applications” as part of LLM training
  4. Hands On Essentials – Data Applications Issued by Snowflake
  5. Network Security & Database Vulnerabilities, Coursera
  6. Artificial Intelligence: Advanced Machine Learning, Udemy
  7. Artificial Intelligence and Predictive Analysis using Python, Udemy
  8. Introduction to Artificial Intelligence (AI), Coursera
  9. What is Data Science, Coursera
  10. Machine Learning, Data Science and Deep Learning with Python, Udemy

USA Students Mentored

  1. Mentored internship student FU YU on project title with “Advanced Computing Resource Utilization using Grafana Dashboard analysis” at Frost Institute for Data Science and Computing (IDSC) , University of Miami, FL , USA.
  2. Mentored internship student Jesse and Subhan on project title with “Open AI LLM Chatbot for Autonomous User Support in Advanced Computing” at Frost Institute for Data Science and Computing (IDSC) , University of Miami, FL , USA.

USA NSF Grants

  1. Actively participated and Involved as member in NSF CC* South Florida Regional Computing planning grant by Frost Institute for Data Science and Computing (IDSC), University of Miami, FL , USA. Award # 2346318.

Subjects Taught:

CSE 116: Fall Semester -2024 Cybersecurity: An Introduction to Security in Cyberspace at the Department of Computer Science, University of Miami.

Papers Published and TPC (Technical Program Committee Member for International Conferences and Journals)

  • Served as industry panel member for National conference on “LLM bootcamp and unlocking the secrets of generative AI” during Aug 31-Sept 1, 2024, at the Hilton Dallas Frisco Hotel & Convention Center in Dallas, TX.
  • The 2nd International Conference on Foundation and Large Language Models IEEE (FLLM2024), 26-29 November 2024 | Dubai, UAE.
  • Dr Rajesh, Dr Ravi, Dr Chris published a paper “Cyber Security Issues and Challenges Related to Generative AI and ChatGPT” in 2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS), Abu Dhabi, United Arab Emirates-https://ieeexplore.ieee.org/document/10375472.
  • University of Miami affiliation, Served as Technical program committee member for The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2023), 24–26 OCT. 2023 KUWAIT CITY, KUWAIT.
  • University of Miami affiliation, Served as Reviewer for the International springer Journal of Financial Innovation 2023 Impact Factor: 8.4 link https://jfin-swufe.springeropen.com/
  • University of Miami affiliation, Served as Reviewer for IEEE International conference on Bigdata 2023, Sorrento, Italy, link https://bigdataieee.org/BigData2023/index.html .
  • The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2022) Sep 5-7, 2022. IEEE, SAN ANTONIO, Texas, USA. Number of reviews completed: 2
  • The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2021)NOVEMBER 15-16, 2021. TARTU, ESTONIA. Number of reviews completed: 4
  • International Conference on Soft Computing & Machine Learning (SCML2020) May 15th-18th, Bangkok, Thailand. Number of reviews completed: 2
  • Third International Workshop on Data Science Engineering and its Applications (DSEA 2019) in conjunction with IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS – 2019) – October 22-25, 2019, Granada, Spain. Number of reviews completed: 2
  • The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2020) OCTOBER 19TH – 22ND, 2020, Spain. Number of reviews completed: 6
  • CPSIOT 2020 Conference Committee, International Conference on Cyber-Physical Systems and IoT, Dec. 14-16, 2020, Bangkok. Number of reviews completed: 1
  • 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019), November 19th – 22nd, 2019, Hualien, Taiwan, Number of reviews completed: 2
  • International Conference on Soft Computing Machine Learning (SCML2019) April 26th-29th, Wuhan, China, Number of reviews completed: 2.
  • DSEA 2018, The Second International Workshop on Data Science Engineering and its Applications, Spain, Number of reviews completed: 2.
  • International Conference FSDM- 2018, Bangkok, Thailand. Number of reviews completed: 3.