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Education

  • 2024 - 2026 (Expected)
    MS in Computer Science
    University of California San Diego
    • Specialization: Artificial Intelligence and Machine Learning
    • GPA: 4.0/4.0
  • 2019 - 2023
    B.Tech in Aerospace Engineering, Minor in Machine Learning
    Indian Institute of Technology Kanpur
    • CPI: 8.9/10

Research Experience

  • Jan 2025 - Present
    Research Intern
    Professor Zhuowen Tu
    • Developing a novel curriculum learning strategy to enforce layout-based controllability in diffusion models enabling developement of controlled generative models.
  • June 2024 - Dec 2024
    Research Intern
    Professor Hao Su
    • Introduced a dual-encoder VLA architecture with a language-aligned action tokenizer that preserves pretrained VLM features, boosting generalization and increasing task success by 40% over SOTA baselines.
  • Feb 2024 - June 2024
    Research Intern
    Professor Yogesh Rawat and Vibhav Vineet
    • Created the CosPlan benchmark for corrective sequential planning and proposed the Scene Graph Incremental (SGI) update method, a novel training-free technique that improves error correction by 5.2%.
  • July 2023 - Feb 2024
    Research Intern
    Professor Yogesh Rawat and Vibhav Vineet
    • Proposed the Dream of Thoughts (DoT) prompting technique, a novel multi-step reasoning approach that navigates model hallucinations to significantly improve the understanding of activity transitions.
  • July 2023 - Feb 2024
    Research Intern
    Professor Yogesh Rawat and Vibhav Vineet
    • Designed the CTx-Net compositional architecture for robust video understanding and introduced three benchmark datasets to systematically study and evaluate model performance under occlusion.

Publications

  • Under Review
    Enhancing Generalization in VLA Models by Preserving Pretrained Representations
    • S. Grover, A. Gopalkrishnan, B. Ai, H. I. Christensen, H. Su, X. Li
  • Under Review
    Navigating Hallucinations for Reasoning of Unintentional Activities
    • S. Grover, V. Vineet, Y. S. Rawat
  • Under Review
    CosPlan: A Benchmark for Corrective Sequential Planning
    • S. Grover, V. Vineet, Y. S. Rawat
  • NeurIPS 2023
    Revealing the Unseen: Benchmarking Video Action Recognition under Occlusion
    • S. Grover, V. Vineet, Y. S. Rawat

Skills

  • Languages
    • Python (Advanced)
    • C++ (Proficient)
    • Julia (Familiar)
    • SQL
  • Libraries
    • PyTorch
    • JAX
    • NumPy
    • Pandas
    • TensorFlow
    • Scikit-learn
  • HPC/Distributed
    • CUDA
    • PyTorch FSDP
    • Kubernetes
    • Docker
    • Slurm

Honors and Awards

  • 2023
    • B.Tech Degree with Distinction (Mathematics & Computing), IIT Kanpur
  • 2022
    • Academic Excellence Award, IIT Kanpur

Academic Service

  • Reviewer: NeurIPS 2025