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Shuvayan Brahmachary Sr. AI Engineer · Databricks

Journey

Databricks Sr. AI Engineer Agentic AI · SciML
Shell SciML Researcher · 2023 – 2025 Scientific ML
TUM Postdoctoral Researcher · 2022 – 2023 Differentiable Physics
Kyushu University Postdoctoral Fellow · 2019 – 2021 Shape Optimisation · ROM
IIT Guwahati Ph.D., Mechanical Engineering Immersed Boundary · CFD

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Shape Design & Optimisation

Shape design and optimization

Pareto-front evolution

Progression of dominated (dark) and current non-dominated (blue) points across generations. Use the controls in the embed to play.

C_d — (gen 0)

Nose cone optimisation

Animated history of candidate shapes; the badge shows the drag coefficient C_d for each generation.

n (external shocks) …

m (internal shocks) …

Scramjet intake design

n — number of external shocks
m — number of internal shocks
Flow solver: Gas dynamics relations
Flow regime: Supersonic/hypersonic
Surface coloring shows wall M (Mach) distribution along ramp & cowl

Optimal axisymmetric nozzle

Body of revolution generated from the Bézier profile; surface colors encode the Mach distribution.

Ar (γ=1.667), T₀=2000 K
r_i=1 mm → r_o=8 mm, L=70 mm
Flow regime: high-speed compressible
Flow solver: area-Mach number relations
Colors baked from Mach as vertex colors.