• Development of a Prototypical Inline Anomaly Detection System of an Automotive Gear Honing Process using Artificial Intelligence Methods• Created Anomaly Detection AWS data pipeline for e-drives based on acoustic and micro geometrical property• Performed Data Engineering and Order Analysis on Fast Fourier Transform Multivariate vibrational Time Series Data - PySpark and Pandas• Used Machine Learning Algorithm - One Class Support Vector Machine and created Statistical Labels for future improvements• Used Deep Learning Algorithm -Auto Encoders along with Long Short Term Memory Recurrent Neural Network methods• Upscaled proactive quality control sensitivity by two times to reduce production cost

• Performed Data Engineering on IoT Time Series Data for E-motor production to improve cycle time with AWS Sagemaker• Integrated, created and analysed Axle Drive production IoT data pipelines on Palantir Foundry (Impact) with PySpark• ETLs, Visualised Dashboard, identified time expensive process in series gear production data with Microsoft Power-BI• Performed Data Analysis and Machine Learning on spur gears Honing process Präwema HRI system FFT Data• Root cause frequency and order analysis for label creation with production team, data steward and End-Of-Line engineers

• Point Cloud 3D Data Generation and Processing using libraries such as Open3d, Tensorflow, Keras, OpenCV, PyTorch• Worked on Linux with VS Code, Anaconda and Gitlab as the repository manager for version control with an international team• Debugged Codes for on going projects and scanning objects to generate point cloud, depth and 360 degree images for datasets• Object detection with various deep convolutional neural architectures like PointNet, PointNet, Open3d semantic segmentation

• Data analysis for Business Visualisation and composed budgets with Power BI to established cost savings, increasing productivity• Quoted technical business solutions to clients - documentation , flowcharts and dashboards (Power-BI - DAX, Power M Query)• Designed, developed and optimised high end technological windows and door systems with Catia V5• Collaborated with architects, teams and suppliers to evaluate costs, achieve profit targets and maintained databases with Azure• Region assistant project manager and strategy consultant for lead development

• Production Engineering: Handled Procurement process, Analysis of Screw Conveyors IoT data on Power-BI• Application Engineering: Product Design on Solid Works and Life Cycle Management for Industrial Centrifugal Fans and Axial fans• Quality Control Validation Engineering: CFD Analysis on backward curved, backward inclined blades of HVAC systems operation