Assistant 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

• Contributed to IDSC-ACS priorities by supporting workforce development, improving research computing support, and advancing AI/HPC capabilities , LLM Chatbots, Multimodal RAG class agents for faculty and researchers.
• Provided software support and Grafana, Xdmod , OnDemand tool,  GPU MIG , esub, Resource optimization metrics development that increased the effectiveness and ROI of research computing resources, while also helping users adopt HPC, AI/ML, and Singularity containerized workflows more efficiently.
• Supported department priorities by improving operational readiness for scalable AI LLM HPC Research services, strengthening user support, and contributing to new technical frameworks aligned with future research and grant opportunities.
• Contributed advanced organizational goals by improving HPC resource utilization, supporting AI and data science workflows, and enabling broader adoption of advanced computing across multiple research domains Engineering, Medical, Climate, Biology,   supported across Pegasus, Triton, and Sylvester Clusters.
• Provided Pegasus, Triton, SCCC Cluster utilization reports and analysis reports to higher official’s monthly basis and presidential AI Cluster utilization report on Pegasus and Triton.
• 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. Involved in NSF CC* Networking Grant proposal along with minority-serving institutions, to provide regional science DMZ. Involved in Conduction of three Science drivers’ workshop as part of grant at regional collaboration Institutions. NSF Award # 2346318.
2. Involved in NSF EIR (Excellence in Research) Grant proposal: AI enabled Research and Education through Consortium Approach across Historically Black Colleges and Universities.
3. 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. NSF 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”.
6. Provided support and guidance to Dr Madhavi Public Health, UM in writing IDSC Proposal in AI and Data engineering plan for “Predicting Alzheimer’s disease (AD) using AI”. 2025
7. Provided AI Support and Guidance to Wu Lizi Director, Facilities Optimization for analyzing UM Data, identifying frequent issues, classification, clustering on Facilities Optimization data and analysis report. 2025
8. Provided support and guidance Yusen wu , IDSC dealing with subjects like Cybersecurity CSE 116 for Pharmacy and Nursing students. 2025
9. Supported Data Engineering plan to Meyers, Adam, Industrial & Systems Engineering IDSC Grant Proposal, Expanding the Use of Collaborative Data Science at UM Grant Program, Asst. Professor COE Industrial Engineering Proposal Title: Deep Learning-Based Statistical Process Control for Improving the Efficiency of Operating Room Processes. 2025.
10. Presently mentoring IDSC two internship students (Colin and Ramses) from Master of Data Science program on agentic AI , Multimodal RAG and HPC integration Collaboration with Mitsu. 2026.

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
• Taught CSE 116, Spring Semester -2026 Cybersecurity: An Introduction to Security in Cyberspace at the Department of Computer Science, University of Miami
• Teaching PIB  708 Advanced Data Science for Bioinformatics Summer 2026, Bioinformatics, UM Miller School of Medicine
• IDSC User Training: Involved in Advanced computing user training IDSC programs, 2026

Papers Published 

• 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.
• Rajesh Pasupuleti, Ravi Vadapalli and Christopher Mader published a paper title with “LLM Chatbot for Autonomous User Support in High-Performance Computing ” at  24th IEEE International Conference on Machine Learning and Applications, Special Session 5: Generative AI, Transformers and Applications, December 3-5, 2025, Boca Raton, Florida, USA . https://ieeexplore.ieee.org/document/11471490.

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

2026

• Reviewer for The ACM PEARC26 (Practice & Experience in Advanced Research Computing) conference will be held from July 26–30, 2026, at the Minneapolis Convention Center in Minnesota, USA.
• 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.
• Reviewer for WIREs Data Mining and Knowledge Discovery (DMKD) a peer-reviewed academic journal published by Wiley-Blackwell “Machine learning and deep learning models for intrusion detection systems: A critical review”. The journal has a Journal Impact Factor (JIF) of 11.7.2025.
• Reviewer for 2025 IEEE International Conference on Big Data, Special Session: 12th IEEE Special Session on Privacy and Security of Big Data (PSBD 2025), Macau, China, December 8-11, 2025.
• 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.
• 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.

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 19-22, 2019, Hualien, Taiwan, Number of reviews completed: 2.
• International Conference on Soft Computing Machine Learning (SCML 2019) April 26-29, 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 (IDSTA 2020) Oct 19-22, 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 (SCML 2020) May 15-18, Bangkok, Thailand. Number of reviews completed: 2
• The International Conference on Intelligent Data Science Technologies and Applications (IDSTA 2021) Nov 15-16, 2021. TARTU, ESTONIA. Number of reviews completed: 4
• The International Conference on Intelligent Data Science Technologies and Applications (IDSTA 2022) Sep 5-7, 2022. IEEE, SAN ANTONIO, Texas, USA. Number of reviews completed: 2.

Professional Development and 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
• Attended NVIDIA GTC 2026 Conference and sharing the knowledge about latest technologies approaches to IDSC team members
• Successfully completed the IBM Build Your First Chatbot course for DSC 645
• Done, IBM Skill Build eLearning Exploring Quantum Computing Completed A Beginner’s Guide to Quantum Computing | IBM Research. 2025
• Completed University of Miami Research Security Training through Ulearn. Completed University of Miami Research Security Training through Ulearn. 2026