CV

You can also download a PDF version of my CV here.

Education

• **Ph.D. in Civil & Systems Engineering

  M.S. in Applied Mathematics and Statistics**, Johns Hopkins University (Aug 2023 - May 2028)

• M.Tech in Civil Engineering, Indian Institute of Science (IISc), Bengaluru (Aug 2020 - Jun 2022)
• B.Tech in Civil Engineering, National Institute of Technology (NIT), Andhra Pradesh (Aug 2016 - Aug 2020)

Skills & Frameworks

• Programming Languages: Python, MATLAB, R
• Deep/Machine Learning Frameworks: PyTorch, TensorFlow, Keras, Theano, Caffee, scikit, JAX
• Bayesian Modules: Pyro, PyMC3, GPyTorch, BoTorch
• Other Tools: High Performance Computing, MongoDB, Fast API
• Design & Analysis: ABAQUS, PLAXIS, CESAR, STAADPro, AutoCAD
• Quantum Computing: D-Wave, Qiskit
• Technical Domains: Generative AI (Diffusion, VAE, GAN), Neural Operators (PINN, DeepONet), GNN, Uncertainty Quantification (Gaussian Processes, Bayesian NNs, Active Learning), Time Series Analysis.

Professional 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.

Honors & Awards

• Intern of the Year, Idaho National Laboratory (2025)
• Best Paper: Machine Learning in Mechanics, Engineering Mechanics Institute (EMI) (2025)
• SIAM CSE25 Travel Award, Society of Applied Mathematics (2025)
• BGCE Best Student Paper Finalist (2025)
• ASCR Leadership Computing Challenge, Department of Energy (2024)
• Hoomes Rich Fellowship, Johns Hopkins University (2023)
• Post-Graduate Scholarship, Government of India (2020-2022)