Research experience

Building across hardware, physics, and code.

A research path through computational imaging labs, GPU systems, and production computer vision.

Arizona State University · Imaging Lyceum Lab

Graduate Research Assistant

January 2024 — Present

Tempe, Arizona

  • Developing optical time-of-flight sensing, differentiable rendering, neural 3D reconstruction, and multimodal imaging systems.
  • Built custom CUDA autograd kernels, OptiX transient renderers, and GPU inverse-rendering pipelines for sonar, Gaussian splatting, and refractive fields.
  • Published co-first-author work at ACM TOG / SIGGRAPH Asia 2026 and first-author oral work at 3DV 2026.

Chiba University

Visiting Ph.D. Student

July 2026 — August 2026

Chiba, Japan

  • Developed differentiable Background-Oriented Schlieren tomography for time-varying 3D refractive-index reconstruction.
  • Built a synthetic-to-real pipeline with GPU flow simulation, calibrated multi-camera rendering, and measurement-only reconstruction.
  • Validated the system on a six-camera rig imaging density-driven flows in air and water.

Dartmouth College

Visiting Ph.D. Student

May 2024 — July 2024

Hanover, New Hampshire

  • Prototyped acoustic non-line-of-sight imaging hardware and acousto-optic capture of occluded surfaces.
  • Collaborated with the Rendering and Imaging Science Lab on multimodal computational imaging systems.

RAIN AI

AI Hardware and Systems Intern

August 2023 — December 2023

Remote, USA

  • Implemented custom CUDA kernels for pretrained machine-learning workloads.
  • Benchmarked GPU performance against custom AI accelerator hardware.

Automaton AI

Computer Vision Engineer

March 2021 — July 2022

Pune, India

  • Designed an end-to-end automatic data-annotation pipeline for detection, segmentation, and keypoint tasks.
  • Deployed efficient model inference on NVIDIA edge devices using post-training quantization.