Biography

PhD Computer Science

Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

MSc Computational Engineering

Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

• Coursework - Pattern Recognition, Pattern Analysis, Machine Learning Time Series, Numerical Methods
• Projects -
  • Age Estimation with CNN
  • Time Series Forecasting with GNN

Masters in Computational Science

Università della Svizzera italiana, Lugano, Switzerland

• Coursework - Machine Learning, Deep Learning Lab, High Performance Computing, Graph Deep Learning
• Projects -
  • Mathematical Reasoning with Transformers
  • Text Generation with LSTM

Doctoral Researcher

Machine Learning and Data Analytics Lab, FAU, Erlangen

Computational Science Werkstudent

Siemens Healthineers

• Contributor to the DigitalTwin of the Heart project to simulate Atrial Fibrilation.
• Computational Modelling of Left Atrium for Universal Atrial Coordinates in 2D.
• Successful generation of landmarks and geodesic paths to describe topology on a 2D map applicable to 70% of patients.

MaRS Scholarship Researcher (Master Thesis)

Institute for Computing, USI, Lugano

• Improved Locational Marginal Price prediction time using Machine Learning and Deep Learning.
• Generated ground truth data with MATPOWER and MOSEK on PGLib-OPF electricity grids.
• Achieved maximum 5\% error rate when using popular machine learning models on various \textit{n-1} security criterion cases to predict LMP.

Research Assistant

Machine Learning and Data Analytics Lab, FAU, Erlangen

• Research assistant on the Deutsche Museum Project, to build an AI software for tracking visitors in a museum.
• Built Computer Vision models for Age detection using multi ethnic facial datasets to increase efficiency to 97\% on custom multi-ethnic test datasets.
• Carried out data annotation using CVAT that was further used training Computer Vision model for Multi-camera multi-object tracking.

Data Science Werkstudent

Streem.ai, Berlin

• Researched statistical models for anomaly detection in time series data for manufacturing companies
• Creating benchmarking systems to test performance of baseline OneClass Classifiers using synthetically generated datasets designed to test anomaly detection performance.
• Exploring model explainability using SHAP library for deriving feature responsibility.

Aero-Acoustics CFD Engineer

Quest Global, Bangalore

• Predicting Low-Speed Fan noise using Fourier Modal Analysis to improve jet engine design to stay within noise regulations
• Running LES simulations (Linear and Non-Linear Unsteady) to capture Fourier static pressure levels in the LP Compressor domain
• Achieved 97% accuracy compared to experimental data from Derby, UK facilities.

• Masters Research Scholarship
• ERASMUS Exchange Scholarship