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Curriculum vitae of Tarun Kumar, Senior Research Scientist at HPE Labs. Download the full PDF using the button above.

General Information

Full Name Tarun Kumar
Current Role Senior Research Scientist, Hewlett Packard Enterprise (HPE) Labs
Email kumartaruncse [at] gmail [dot] com
Research Areas Generative AI, Large Language Models, Agentic AI Systems, NLP, Trustworthy & Data-Centric AI

Profile Summary

  • Senior Research Scientist and technologist with a Ph.D. in Computer Science (IIT Madras, Intel India Ph.D. Fellow) and experience in applied research spanning Generative AI, Large Language Models, agentic AI systems, and NLP.
  • Author of 12+ peer-reviewed papers at venues including ICML, ACL and AAAI.
  • Track record of defining research direction and translating novel algorithms into production-grade, enterprise-scale AI systems at HPE Labs.

Education

  • 2016 - 2022
    Ph.D., Computer Science and Engineering
    Indian Institute of Technology (IIT) Madras
    • Intel India Ph.D. Fellowship (2020 - 2021).
    • Best Ph.D. Thesis award in Data Science, IIT Madras.
    • Thesis: Algorithms for Rich Graph Structures.
    • Advisors: Balaraman Ravindran and Manikandan Narayanan.
    • CGPA 8.5/10.
  • 2013 - 2015
    M.Tech., Computer Science and Engineering
    Shiv Nadar University
    • Distinguished Alumni Award, 2026.
    • Thesis: Analysis of Compiler Optimization Techniques for Multi-Core Architecture using Feature Mining.
    • Advisor: Rajeev Kumar Singh.
    • CGPA 9.07/10.
  • 2009 - 2013
    B.Tech., Computer Science and Engineering
    Punjab Technical University
    • Percentage 85.3/100.

Professional Experience

  • Jan 2025 - present
    Senior Research Scientist
    Hewlett Packard Enterprise (HPE)
    • Working on agentic AI systems and foundation models for enterprise and scientific workloads.
    • Emphasis on data organization, LLM agent guardrails, and model selection pipelines.
  • Dec 2021 - Dec 2024
    Research Scientist
    Hewlett Packard Enterprise (HPE)
    • Worked on data discovery in the realm of Data-Centric and Trustworthy AI.
  • Jun 2018 - Dec 2021
    Project Associate
    Robert Bosch Center for Data Science and AI, IIT Madras
    • Network Representation Learning in collaboration with Intel Labs.
  • Jul 2014 - May 2015
    Research Intern
    Landis & Gyr (Toshiba Corp.)
    • Implementation of a Java-based DCW interpreter.
    • Porting EmbOS and EmFile on the Volta board.

Top Skills

  • Generative AI & LLMs
    • RAG architecture & optimization
    • Prompt orchestration
    • Foundation model evaluation/selection
    • Foundation model virtualization
  • Agentic AI Systems
    • Policy-driven guardrails
    • Autonomous agent evaluation
    • Reliable tool use
    • MCP-based infrastructure agents
  • Natural Language Processing
    • Embedding models
    • Hallucination mitigation
    • Knowledge graph completion
    • Fairness-aware data generation
  • Data-Centric & Trustworthy AI
    • Dataset valuation & lineage
    • Data discovery
    • Model explainability
  • Time-Series & Multimodal AI
    • Time-series foundation model adaptation & anomaly detection
    • Vision-language generation
  • Research Leadership
    • Research roadmap definition
    • Cross-functional collaboration
    • Mentoring

Honors and Awards

  • 2026
    • Distinguished Alumni Award, Shiv Nadar University
    • HPE Labs Star Award
  • 2025
    • HPE Labs Star Award
    • HPE Hybrid Cloud and Office of CTO Champion Award
  • 2024
    • Innovator of the Year Award, HPE
  • 2023
    • Best Ph.D. Thesis Award in Data Science, IIT Madras
  • 2020
    • Intel India Ph.D. Fellowship (2020 - 2021)

Selected Talks & Presentations

  • 2026
    • Virtual Foundation Model as an OS for Generative AI, HPE TechCon
  • 2025
    • LATTICE: A Data Intelligence Platform for Private Cloud for AI, HPE TechCon
  • 2024
    • LLM Recommendation and Evaluation for Scientific Use Cases (CUG 2024, Australia)
    • LLM-Guided Counterfactual Data Generation for Fairer AI (DCAI 2024, Singapore)
    • Holistic Evaluation and Recommendation of LLMs, HPE TechCon
  • 2023
    • MultiCens: Multilayer Network Centrality Measures, IMSc Network Biology Day
    • Surprising Data Scientists by Data Discovery, HPE TechCon

Professional Services

  • Co-organizer, AgenticOS workshop at NeurIPS 2026.
  • Co-organizer, Graphs and more Complex structures for Learning and Reasoning (GCLR) workshop series at AAAI 2021, 2022, 2023, 2024, 2026.
  • Area Chair, CODS-COMAD 2026.
  • Program Committee member: NeurIPS (2022-26), ICML (2024-26), ICLR (2022, 2024-26), AAAI (2025-27), KDD (2025).
  • Journal reviewer: Nature Scientific Reports, PLOS ONE, IEEE Transactions on Network Science and Engineering, Applied Network Science, Artificial Intelligence Review, The Journal of Supercomputing, and others.
  • Co-Editor, Special Issue on Learning and Reasoning in Generalized Graphs, Journal of Physics: Complexity, 2023.
  • Membership: Association for the Advancement of Artificial Intelligence (AAAI), ACM India SIGKDD.