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Mangal Deep B.M. has a diverse work experience spanning several years. They started their career as a Technical Intern at Mettur Thermal Power Station, where they gained hands-on experience in metering and relay testing, control, and instrumentation.

After that, they worked as a Software Developer at Jaguar Land Rover UK (KPIT) before joining KPIT as an Application Software Developer. In these roles, they developed control algorithms for automotive features, performed testing, and code generation.

Later, they worked as an Advanced Engineer at Altran Engineering Solutions and as a Work Student at Aptiv, where they developed tools for validation of radar sensor models, created virtual scenarios, and automated workflows.

They then became a Research Assistant at the University of Applied Sciences and Arts Dortmund, followed by a Work Student position at HELLA Aglaia Mobile Vision GmbH. At HELLA Aglaia, they created python based dashboards for performance metrics analysis, automated SiL systems, and optimized machine learning pipelines.

Currently, Mangal Deep B.M. is working at MOTOR Ai as a Decision Making Engineer, although the start and end date for this role are not provided.

Mangal Deep B.M. completed a Master's degree in Embedded Systems for Mechatronics from the University of Applied Sciences and Arts Dortmund from 2019 to 2022. Prior to that, they obtained a Bachelor's Degree in Electrical and Electronics Engineering from Amrita Vishwa Vidyapeetham, Coimbatore, from 2011 to 2015.

In addition to their formal education, Mangal Deep B.M. has obtained several certifications. These include Neural Signal Processing from Udemy (obtained in December 2022), Data Science from Ruhr Master School (obtained in November 2021), Self Localization and Mapping from Coursera (obtained in April 2020), Deep Learning On Ramp from MathWorks (obtained in October 2019), and Electric Vehicles - Part 1, Machine Learning for Engineering and Science Applications, Problem solving through Programming In C, and Programming, Data Structures and Algorithms using Python from NPTEL (all obtained in April 2019).

Additionally, Mangal Deep B.M. has completed Introduction to Python from DataCamp, Neural Networks and Convolutional Neural Networks Essential Training and OpenCV for Python Developers from LinkedIn (all obtained in January 2019), Control System Design and Control Systems from NPTEL (both obtained in October 2018), and Duolingo German Fluency: Beginner (Estimated) from Duolingo (obtained in October 2015).