Institute for Building materials (ifB) 

.Developed a deep learning model (CNN) for the prediction of grading curve from the images of concrete aggregate.
.Implementation, evaluation and optimization of deep learning algorithms.
.Investigated the influence of the image resolution and the individual constituents.
Tools: Python, pandas, NumPy, scikit-learn, PyTorch, OpenCV

Student Research Assistant

Clarios

•	Developed analysis models with a focus on CFD, Structural analysis, production deployment and evaluation
•	Projects: Structural analysis and optimization of a lead acid battery component.
•	Tools: Ansys Workbench, Python, Microsoft Office, SOLIDWORKS
•	Performed a variety of analysis, data handling and data interpretation tasks

Project Engineer - FEM Modeling

•	Root cause Analysis on the Battery component using finite element analysis
•	Conducted a study on heat generation and stress induced on the body during the machining process
•	Evaluation of the finished product

Engineering Intern

DoWell Research

• Developed Python-based algorithms connecting with SQL from concepts and UI design.
• Involved in the Design, development and testing phases of applications using AGILE.
• Developed a Flask API to deploy the algorithm.

Python Developer

AI Enthusiast | Data Enthusiast, Delving deep into predictive analytics with the help of Machine Learning, Deep Learning models, Computer vision Python and Sql.

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