Work Experience

• Computational Scientist Intern, Idaho National Laboratory (May 2025 - Aug 2025)
  • Engineered GPU-accelerated surrogates using Multi-Output Gaussian Process Autoregression and Attention-UNet for melt-pool morphology segmentation.
• Graduate Research Assistant, Johns Hopkins University (Aug 2023 - Present)
  • Developed attention-based UNet for diffusion generative models and implemented DeepONet for multi-task stress field prediction.
  • Designed Gaussian process models integrated with variational graph auto-encoders for alloy response modeling.
• Research Engineer, LTIMindtree Ltd. (Jul 2022 - Jul 2023)
  • Created a quantum annealing-based portfolio optimization tool and Temporal Fusion Transformer for interpretable time series forecasting.
• Graduate Research Assistant, Indian Institute of Science (Apr 2021 - Jun 2022)
  • Developed an information theory-centric algorithm based on independent component analysis for structural health monitoring.