CV

Experience

  • 2025.06 - Present
    Research Engineer
    Apple
    • Designed an auto-improvement pipeline to improve the performance of long-horizon agents on human interaction understanding tasks.
    • Owned agent development infrastructure, integrating simulation and evaluation workflows.
    • Defined evaluation protocols and scoring rubrics to assess the quality and behavior of multimodal agents and guide model improvements.
  • 2024.12 - 2025.03
    Research Intern
    Google Beam (Hosts: Jungyeon Park, Srinivas Kaza)
    • Designed a novel transformer architecture for scaling novel view synthesis using diffusion-generated views (ICCV 2025; patent application filed).
    • Achieved state-of-the-art novel view synthesis on Re10K, ACID, and DL3DV, and improved cross-dataset generalization using synthetic training data.
  • 2024.04 - 2024.12
    Research Intern
    Deep Imagination Research, NVIDIA (Mentors: J.P. Lewis, Ming-Yu Liu)
    • Built a zero-shot pipeline to segment 3D mesh parts and estimate materials and physical properties using multi-view foundation-model features and multimodal reasoning (U.S. Patent Application 19/024,394).
  • 2023.05 - 2023.08
    Research Intern
    Adobe Inc (Mentor: Yuqian Zhou)
    • Developed Control2Control for training-free image editing from sketches, poses, and layouts.
    • Designed a novel attention transfer method for identity-preserving editing using human-drawn control signals.
  • 2022.05 - 2022.08
    Research Intern
    Mitsubishi Electric Research Labs (Mentors: Tim Marks, Anoop Cherian)
    • Developed Steered Diffusion, an energy-based approach for zero-shot conditioning of diffusion models through inference-time guidance (ICCV 2023).

Selected Publications

Education

  • 2021 - 2025

    Baltimore, USA

    Ph.D.
    Johns Hopkins University
    Electrical and Computer Engineering
    • Advisor: Prof. Vishal M. Patel
    • GPA: 3.96/4.0
  • 2015 - 2020

    Chennai, India

    B.Tech and M.Tech Dual Degree
    Indian Institute of Technology Madras
    Electrical Engineering
    • CGPA: 9.0/10.0

Awards