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Krish Bharadwaj

@krishbharadwaj

Aerospace engineer applying PyTorch and conditional diffusion models to reconstruct supersonic flow fields, reducing reconstruction error by over 94%.

Germany

Message

My master’s thesis at Technical University of Munich (TUM) applied deep learning to reconstruct high-fidelity supersonic flow fields in nozzle flows. Using conditional diffusion models and targeted loss design, I cut reconstruction error by over 94%.

At Daimler AG (Mercedes-Benz Group), I contributed to the cloud-based procurement platform “proQ” and designed and implemented a natural-language assistant using Microsoft Azure Bot Services. My background also includes tutoring engineering mathematics at Karlsruhe Institute of Technology.

Experience

Work history, roles, and key accomplishments

Teaching Assistant

Karlsruhe Institute of Technology

Oct 2018 - Oct 2019 (1 year)

Tutored undergraduate engineering students in linear algebra, differential equations, Fourier analysis, and Laplace transforms. Led weekly tutorial sessions and graded assignments.

Linear Algebra Differential Equations Fourier Analysis Laplace Transforms Tutoring Grading

Internship

Daimler AG

Mar 2019 - Jul 2019 (4 months)

Contributed to the development of a cloud-based procurement platform with scalable infrastructure. Designed and implemented a natural-language assistant using Microsoft Azure Bot Services to automate buyer workflows.

Azure Bot Service Cloud Infrastructure Natural Language Processing Procurement

Education

Degrees, certifications, and relevant coursework

Technical University of Munich

M.Sc., Aerospace

2022 - 2025

Grade: 1.7

M.Sc. in Aerospace with specialization in Propulsion Systems, Fluid Mechanics, and Space Systems. Master's thesis on deep-learning-based reconstruction of supersonic flow fields in nozzle flows, achieving a grade of 1.0.

Karlsruhe Institute of Technology

B.Sc., Mechanical Engineering

2016 - 2020

B.Sc. in Mechanical Engineering with specialization in Thermodynamics and Energy Engineering. Bachelor thesis on numerical studies of mechanical and chemical energy conversion for energy storage applications.