Sr. AI Engineer · Databricks · Bengaluru

Shuvayan Brahmachary

Working at the intersection of agentic AI, scientific machine learning and physical simulation.

Resume Publications Research

Damped wave equation · numerical schlieren

Research thread

  1. CFD
  2. Optimization
  3. Differentiable Physics
  4. SciML for PDEs
  5. AI for Science
  6. AI Agents

Currently

Sr. AI Engineer @ Databricks

Working on Agentic AI & SciML

Journey

DatabricksSr. AI Engineer

Hi! I’m Shuvayan Brahmachary, a Sr. AI Engineer at Databricks.

ShellSciML ResearcherSept. 2023 – Feb. 2025

I previously worked as a SciML researcher at Shell.

Technical University of MunichPostdoctoral ResearcherJan. 2022 – Sept. 2023

Before that, I was a postdoctoral researcher at the Technical University of Munich, Germany, where I worked with Dr. Nils Thuerey.

Kyushu UniversityPostdoctoral FellowSept. 2019 – Sept. 2021

I also spent time as a postdoctoral fellow in the Department of Aeronautics and Astronautics at Kyushu University, Japan, working with Dr. Hideaki Ogawa.

Indian Institute of Technology GuwahatiPh.D., Mechanical Engineering

I received my Ph.D. from the Department of Mechanical Engineering at Indian Institute of Technology Guwahati, where I was advised by Dr. Ganesh Natarajan and Prof. Niranjan Sahoo.

Ph.D. thesis Finite Volume/Immersed Boundary Solvers for Compressible Flows: Development and Applications

Interest

AI

  • AI Agents for complex scientific workflows Langchain
  • Foundation models for scientific domains (SciFMs)
  • Character language models nanoGPT
  • Stable diffusion models

Machine Learning

  • Differentiable physics for forward and inverse problems Phiflow
  • Spatio-temporal and time-series forecasting
  • Reduced-order model
  • LLM-based agentic framework for fluid control and optimisation

Computational Modelling

  • In-house non-conformal immersed boundary solver for high-speed flows
  • FoamExtend for low-speed incompressible flows

Aerodynamic Shape Optimisation and Design

Contact

Feel free to browse through the projects, publications and Jupyter Notebooks and email for queries. Have a good one!