Key Responsibilities and Achievements:Algorithm Development: Designed a sophisticated algorithm for numerical modeling of multi-axle vehicles, enhancing the quality of generated training data.End-to-End ML Pipeline Creation: Built a comprehensive end-to-end machine learning pipeline for data generation, input processing, feedback handling, and model retraining, ensuring seamless integration of all ML processes.Dynamic Response Optimization: Reduced the dynamic responses of bridges by 15% using a Weighted Random Forest (WRF), considering high uncertainty in the modulus of elasticity.Model Testing and Evaluation: Tested and evaluated multiple models, including Weighted Random Forest, Logistic Regression, Long Short-Term Memory (LSTM), and Bidirectional LSTM (BiLSTM), to identify the most effective solutions.

Implemented Puck’s Analysis methodology for Hybrid Composite Material.Developed an automated Excel sheet for streamlined data processing and performed complex calculations.

Using STADD for analysing a 5 stored building (our own hostel), using rivet for making it's 3d view , analysing slab design for a water pump which is going to build in Jammu and Kashmir