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Nithin KarkalNK
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Nithin Karkal

@nithinkarkal

I build production-ready ML pipelines grounded in 17 years of engineering.

Germany
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What I'm looking for

I'm seeking roles that combine simulation and validation with data analytics, machine learning, MLOps, and digital engineering, where I can apply physics-based and data-driven modeling to improve engineering processes.

I've built end-to-end machine learning projects including a production-grade road-accident severity predictor with DVC, MLflow, Airflow, FastAPI, Docker, Prometheus, Grafana, Evidently, and automated model promotion. I also developed a RAG-based engineering assistant and a Streamlit app for vehicle CO2 emissions prediction.

Before transitioning into ML/MLOps, I spent 17+ years advancing simulation-driven product development at GKN Automotive, Bombardier, Daimler, Bosch, and DRDO. At GKN, I led CAE method standardization, established its first offshore R&D center in India, and helped reduce physical testing costs by 15% through advanced simulation methods.

Experience

Work history, roles, and key accomplishments

BG

CAE Engineer

Bombardier Transportation GmbH

Feb 2010 - Mar 2011 (1 year 1 month)

Executed FEA for locomotive cabins and axle structures using static, dynamic, and nonlinear simulations to assess structural strength and fatigue life. Performed topology optimization, bolt/weld strength calculations, and rivet path checks.

DA

Master's Thesis Researcher

Daimler AG

Oct 2008 - Apr 2009 (6 months)

Built and validated a driveline FE model to derive subsystem target values and predict airborne noise (NVH) from engine to drive wheels, correlating simulation with test data across multiple load cases.

Education

Degrees, certifications, and relevant coursework

LP

Liora & Pantheon-Sorbonne University Paris

Data Scientist / ML Engineer Diploma, Data Science / Machine Learning

2026 -

Data Scientist / ML Engineer Diploma from Liora & Pantheon-Sorbonne University Paris, expected completion in 2026. Currently advancing into the ML Engineer / MLOps specialization of the 700-hour programme.

University of Siegen logoUS

University of Siegen

Master of Science, Mechatronics

2006 - 2009

Grade: 2.0 (German scale)

Master of Science in Mechatronics from the University of Siegen, Germany, from 2006 to 2009. Thesis on NVH calculation of driveline dynamics using FE, conducted at Daimler AG, Stuttgart, with distinction.

NT

National Institute of Technology

Bachelor of Engineering, Mechanical Engineering

2000 - 2004

Grade: 80%

Bachelor of Engineering in Mechanical Engineering from the National Institute of Technology, India, from 2000 to 2004. Thesis on chassis analysis of a Formula 1 vehicle using FEM, with distinction.

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