
Nithin Karkal
@nithinkarkal
I build production-ready ML pipelines grounded in 17 years of engineering.
What I'm looking for
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
Data Scientist / ML Engineer
Liora & Pantheon-Sorbonne University Paris
Mar 2026 - Present (6 months)
Earned a Data Scientist diploma covering the full data science lifecycle and advanced into the ML Engineer/MLOps specialization of a 700-hour program, including deep learning, NLP/RAG, and containerized deployment.
Senior Simulation Engineer (CAE/FEA)
PRM – Personalentwicklungsgesellschaft mbH
Mar 2025 - Feb 2026 (11 months)
Structured professional development extending 17 years of experience in structural mechanics, FEA/FEM, NVH, and durability with Data Science, Machine Learning, and MLOps, aimed at advancing simulation and validation processes through data-driven methods.
Senior CAE Engineer
GKN Automotive GmbH
Apr 2011 - Feb 2025 (13 years 10 months)
Performed FEA on hybrid transmissions, EVs, and driveline components, including static, dynamic, and nonlinear analyses. Led the development and standardization of simulation methods and coordinated international projects, including establishing an offshore R&D center in India.
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.
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.
Intern
Robert Bosch GmbH
Apr 2008 - Sep 2008 (5 months)
Investigated noise propagation in a refrigerator using Transfer Path Analysis (TPA) methods, planned and instrumented the test campaign, measured system transfer functions, and evaluated data in MATLAB.
Scientist-B
Defence Research & Development Organization (DRDO)
Sep 2004 - Aug 2006 (1 year 11 months)
Designed and analyzed aerostructures using SolidWorks, CATIA V5, and Nastran, ensuring structural integrity under extreme high-G load tests.
Machine Learning Capstone Projects
Liora & Pantheon-Sorbonne University Paris
Built and deployed end-to-end ML projects including a CO2 emissions predictor, a RAG-based engineering assistant, and an accident severity predictor with a full MLOps pipeline.
Education
Degrees, certifications, and relevant coursework
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
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.
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.
Availability
Location
Authorized to work in
Social media
Skills
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