Rajesh Pasupuleti, PhD

Rajesh Pasupuleti, PhD

Rajesh PasupuletiAssistant Scientist, IDSC Advanced Computing
Phone: 415.799.8154
Office: 1552 Brescia Avenue, 130E, Coral Gables, FL 33146
Email: rxp1166@miami.edu

Dr. Rajesh Pasupuleti is currently working as a Scientist at Frost Institute for Data Science and Computing (IDSC), University of Miami. He has 16 years of experience in data science, AI, ML, cybersecurity, supercomputers, and containers applications, and has performed various roles in industry and academic research and administration, recently completing three Large Language Models projects.

Previously, 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. In addition, he held a role as Academic Outreach Advisor at Ureka Groups Dubai’s Technology Entrepreneur Centre in London.

Dr. Pasupuleti has experience in LLM Enterprise Application Development, Multi Agent AI Workflow n8n, LangGraph, OpenAI Agents SDK, Data Scientist, AI, ML, Hugging Face AI models , Cyber Security Analyst (SIEM Solutions ELK stack, Splunk), HPC Supercomputing (Triton, Pegasus, CUDA, Nextflow), Container (Kubernetes, Singularity), Elasticsearch, Logstash, Kibana, Snowflake, Spark, Knime, Tableau, IBM Watson analytics, AZURE ML Studio, Power BI, Looker, Grafana, Amazon, Azure cloud, IBM Triton, MySQL, PostgreSQL, Delta lake, and HPC Linux operations.

He also served on the Technical Program Committee for various international conferences and journals in India, Thailand, China, Spain, Canada, Kuwait, Italy, the Republic of Korea, Taiwan, the U.S., and Dubai. His research interests include Machine Learning, Artificial Intelligence, Data Mining, Privacy Preserving, Business and Big Data Analytics, Information Retrieval, Cyber Security, LLM models, and Generative AI.

 

IDSC Implementations

  • Developed and deployed Open AI LLM Chatbot for providing better HPC services to IDSC Supercomputing researchers and faculty.
  • 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, and MySQL.
  • Created Sylvester, Pegasus, Triton cluster resource, service utilization, and visualization dashboards on Service Units, CPU, Memory units, project, queue, Users wise using Power BI, Tableau, Grafana, PostgreSQL.
  • Attended Super Computing Conferences (SC23, SC 24) and shared knowledge about new technologies HPC, AI, and LLM models approaches to IDSC team members.
  • Presented two posters on IDSC Day on generative AI threat detection analysis and HPC Based Container applications.
  • Provided IDSC Seminar presentation on both Grafana and IDSC Chatbot.
  • Attended Super Computing Conference (SC23) and shared knowledge about new technologies approaches to IDSC team members.
  • Provided reports, and documentation as per Stephan Schurer’s Sylvester cluster Requirements on Grafana Sylvester SCCC cluster Dashboard creation and storage visualizations.
  • Provided Grafana Dashboard top CPU GPU users and Five-year Summary statistics Report for all three cluster (Triton, Pegasus, Sylvester).
  • Provided CPU SU GPU analysis for Pegasus Triton Rosenstiel School TOP Departments and projects.
  • Involved in NSF CC* planning grant workshops on Science Drivers organized by Frost Institute for Data Science and Computing (IDSC), University of Miami.

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. Award # 2346318.

USA Students + Faculty Supported and 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.
  2. Mentored internship student on project title with “Open AI LLM Chatbot for Autonomous User Support in Advanced Computing” at IDSC.
  3. Mentored internship student on project titled “Open AI LLM Chatbot for Autonomous User Support in Advanced Computing” at IDSC.
  4. Supported graduate student in development LLM,BIO GPT LLaMA3 model on my viral database to create a new variant of it. Fine tuned categories for JEIRAL Development.
  5. Supported IDSC Data Engineering plan for an “Expanding the Use of Collaborative Data Science at UM” Grants Program member and Assistant Professor, Miller School of Medicine, Department of Public Health Sciences’ study on “Leveraging Online Data to Monitor Synthetic Drug Trends and Inform HIV Prevention Strategies”.

USA Subjects Taught

  • PIB 707: Survey of Data Science for Bioinformatics, Spring Semester 2023, Department of Bioinformatics, Miller School of Medicine, University of Miami
  • CSE 116:  Cybersecurity: An Introduction to Security in Cyberspace, Fall Semester 2024, Department of Computer Science, University of Miami
  • EGN 623 R: Advanced Computing for Engineers, Fall Semester 2024, College of Engineering. University of Miami
  • DSC 645: Principles and Practice of Artificial Intelligence, Fall Semester 2025, Graduate Course, Department of Computer Science, University of Miami (UM). Collaboration between UM and IBM.
  • DSC 345: Principles and Practice of Artificial Intelligence, Fall Semester 2025, Undergraduate Course, Department of Computer Science, University of Miami (UM). Collaboration between UM and IBM.

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

  • Published IEEE paper Rajesh Pasupuleti; Ravi Vadapalli; Christopher Mader on “ Cyber Security Issues and Challenges
Related to Generative AI and ChatGPT ” The 10th International Conference on Social Networks Analysis, Management and Security (SNAMS-2023) Abu Dhabi, UAE. November 21-24, 2023. https://ieeexplore.ieee.org/document/10375472
  • Published IEEE Conference paper, Rajesh Pasupuleti; Ravi Vadapalli; Christopher Mader;  title with “Apptainer-Based Containers for Legacy and Platform Dependent Machine Learning Applications on HPC Systems” 2024 IEEE International Conference on Big Data (BigData), 15-18 December 2024. Washington, DC, USA DOI: 10.1109/BigData62323.2024.10825376 .https://ieeexplore.ieee.org/document/10825376
  • Published IEEE Conference paper, Rajesh Pasupuleti; Ravi Vadapalli; Christopher Mader; Norris Timothy, title with “ Popular LLM-Large Language Models in Enterprise Applications” . 2024 2nd International Conference on Foundation and Large Language Models (FLLM). 26-29 November 2024 , Dubai, United Arab Emirates. DOI: 10.1109/FLLM63129.2024.10852443. https://ieeexplore.ieee.org/document/10852443.

International Conferences, Journals Papers Reviewed and Served as Technical program Committee Member

2023

  1. 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.
  2. Served as Reviewer for the International springer Journal of Financial Innovation 2023 Impact Factor: 8.4. https://jfin-swufe.springeropen.com/
  3. Reviewer for IEEE International conference on Bigdata 2023, Sorrento, Italy. https://bigdataieee.org/BigData2023/index.html.

     
    2024

  4. Reviewer for IEEE International conference on Bigdata 2024, December 15-18, 2024, Washington DC, USA. This is an opportunity to engage with groundbreaking research in the realm of Big Data and help shape a platform that fosters scientific innovation. https://www3.cs.stonybrook.edu/~ieeebigdata2024/SpecialSessions.html.
  5. 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.
  6. Reviewer for ACM Journal of Computational Methods in Science and Engineering 2024.
  7. IEEE Conference Session chair for “The 2nd International Conference on Foundation and Large Language Models (FLLM2024) ,26-29 November, 2024 | Dubai, UAE. I am honored to serve in these roles to help facilitate discussions and review key contributions in the evolving landscape of AI, Machine Learning (ML), Data Science, and High-Performance Computing (HPC) with a focus on Large Language Models.
  8. Served as Reviewer for the International springer Journal of Financial Innovation 2024 Impact Factor: 8.4 link https://jfin-swufe.springeropen.com/.
  9. 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, USA.

     
    2025

  10. Reviewer for “National Forensic Sciences University Goa Campus, India  association with Florida International University, Miami, FL, USA organizing 7th International Conference on Communication and Computational Technologies (ICCCT 2025) during February 14-15, 2025 at Goa, India.
  11. Reviewer for International conference 29 th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2025. September 9 – 12, 2025. Organized by IIIS in Orlando, Florida, USA.
  12. Reviewer for Washington University of Science and Technology (WUST), United States and RV Institute of Management (RVIM), India are organizing the 9th International Joint Conference on Advances in Computational Intelligence (IJCACI 2025).
  13. Reviewer for 5th International Conference on Intelligent Vision and Computing (ICIVC 2025) to be held on June 13-14, 2025 at ICFAI University, Dehradun, India.
  14. Reviewer for International Conference on Data, Decision and Systems December 4 – 6, 2025, Indian Institute of Information Technology, Dharwad, India.
  15. Served as Reviewer for the International springer Journal of Financial Innovation 2025 Impact Factor: 8.4 link https://jfin-swufe.springeropen.com/
  16. Reviewer for 2025 IEEE World Conference on Applied Intelligence and Computing to be held on July 26-27, 2025 at IETE, Delhi Centre, India.
  17. Program committee member for FLLM2025 program committee the 3rd International Conference on Foundation and Large Language Models (FLLM2025) 25-28 November, 2025 | Vienna, Austria Hybrid Conference and Technically Co-Sponsored by IEEE Austrian Section.

Other Reviewers and TPC

  • 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.
  • 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.
  • Third International Workshop on Data Science Engineering and its Applications (IDSEA 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) Oct 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
  • International Conference on Soft Computing & Machine Learning (SCML2020) May 15th 18th, Bangkok, Thailand. Number of reviews completed: 2
  • The International Conference on Intelligent Data Science Technologies and Applications (IDSTA2021) Nov 15-16, 2021. TARTU, ESTONIA. Number of reviews completed: 4
  • 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.

Certifications

  • Snowflake certification on “Hands on Essentials – Data Warehouse”
  • Kubernetes cloud Native associate certificate by Linux Foundation
  • “NVIDIA Deep Learning Institute Building Transformer-Based Natural Language Processing Applications” as part of LLM training
  • Hands On Essentials – Data Applications Issued by Snowflake
  • Network Security & Database Vulnerabilities, Coursera
  • Artificial Intelligence: Advanced Machine Learning, Udemy
  • Artificial Intelligence and Predictive Analysis using Python, Udemy
  • Introduction to Artificial Intelligence (AI), Coursera
  • What is Data Science, Coursera
  • Machine Learning, Data Science and Deep Learning with Python, Udemy
  • UHealth Compliance HIPAA Privacy & Security Awareness 2025 Training certificate by UHealth Compliance .
  • Cybersecurity Education & Awareness, 2025, provided by University of Miami.
  • UHealth Compliance Annual Compliance Program Training (ACPT)/Corporate Integrity Agreement (CIA) 2024 UHealth Compliance