Rohit Prajapati

Researcher, Shell R&D  ·  PhD Candidate, IIT Jodhpur

I work on high-performance computing: designing parallel and distributed systems that make large-scale computation fast, scalable, and efficient. Building on that, I develop dynamic graph algorithms for real-time workloads on distributed and parallel systems.

At Shell R&D, I build production agentic RAG systems over multi-collection vector stores and optimise high-performance computing for large-scale AI workloads.

  • High-performance computing
  • AI workload optimisation
  • Dynamic graph algorithms
  • Model compression
Portrait of Rohit Prajapati

Lately

Publications

  1. HiPC 2026

    LayComp: Layer-by-Layer Compression for Transformers

    Rohit Prajapati, Mudit Sand, Kapil Mathur, Subhasis Banerjee  ·  Bengaluru, India
    33rd IEEE International Conference on High Performance Computing
    To appear · Dec 2026
  2. HPDC 2026

    SAGA: State-Aware Graph Analytics for Combinatorial Optimization on Dynamic Graphs

    Rohit Prajapati, Prajjwal Nijhara, Dip Sankar Banerjee  ·  Cleveland, OH, USA
    ACM International Symposium on High-Performance Parallel and Distributed Computing
    DOI
  3. EAGE 2026

    E-DALE: End-to-End Domain Adaptation for Large Language Models in the Energy Sector

    Injy Sarhan, Avanindra Singh, Lalson Vincent, Yogesh Nakhate, Mudit Sand, Eirini Stamatiou, Rohit Prajapati, Oleg Ovcharenko, Oleg Sudakov, Filippo Broggini, Sagar Desai, Detlef Hohl  ·  Aberdeen, UK
    87th EAGE Annual Conference & Exhibition
    EarthDoc
  4. SIGMOD 2026

    PJsim: Towards Precise and Scalable Graph Similarity

    Prajjwal Nijhara, Jainan Tandel, Rohit Prajapati, Dip Sankar Banerjee  ·  Bengaluru, India
    Proceedings of the ACM on Management of Data, Vol. 4, No. 3
    DOI
  5. ICDCN 2026

    A Precise and Closed-Form Solution for Edge-Ranking

    Prajjwal Nijhara, Jainan Tandel, Rohit Prajapati, Dip Sankar Banerjee  ·  Nara, Japan
    International Conference on Distributed Computing and Networking
    DOI