Bragadesh Srivatsan
Software Developer @Bosch Engineering Gmbh
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WORK HISTORY
Software Developer @Bosch Engineering Gmbh
Reutlingen, DE
In my role as a Development Engineer, I focus on advancing the design and reliability of power electronics and discrete components through a combination of simulation, data science, and automation. My work spans across thermal and thermo-mechanical analysis, data-driven modeling, and ML-based reliability methods.Key Responsibilities & Expertise- Conducting thermal and thermo-mechanical analysis for power electronics and discrete components- Developing CAE models from CAD to enable static structural and transient simulations- Modeling and analyzing chiplets, flip-chips, discrete components, and design elements such as wirebonds and solder joints- Performing data and statistical analysis, including Monte Carlo simulations and Design of Experiments, using ANSYS OptiSLang and Cornerstone- Working with relational databases (SQL) and tools like KNIME for data manipulation, combined with Tableau for visualization and statistical process control- Automating FEA workflows and post-processing through scripting (Python, APDL)- Working with relational databases (SQL) and tools like KNIME for data manipulation, combined with Tableau for visualization and statistical process control- Applying machine learning operations: model training, optimization, deployment in edge environments- Conducting warpage analysis and CTE measurements using Digital Image Correlation (DIC) and Moire Interferometry.
EDUCATION
University of Stuttgart
Computational Mechanics of Materials and Structures
Anna University
Bachelor of Engineering (BE)
Jawahar Higher Secondary School
High School
SKILLS
ABOUT BRAGADESH SRIVATSAN
I am a Development Engineer passionate about leveraging digital twins and surrogate modeling to solve challenges in material and structural applications. Currently, I focus on advancing automotive electronics design and reliability methods by integrating Industry 4.0 principles, machine learning, and thermo-mechanical simulations. I enjoy working at the intersection of engineering, data science, and simulation, transforming complex data into actionable insights that drive innovation and reliability. Key Expertise: Reliability simulations & methods | FE coupon testing | Optimization | Machine Learning Data visualization & wrangling | Big Data analytics Technical Skills: Programming: Python, MATLAB ML & Data Science Libraries: Keras, TensorFlow, Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, Seaborn Databases: PostgreSQL, MySQL Other Tools: Git, MS Office Suite CAx Platforms: Hypermesh, ANSYS
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