Leveraged optimization techniques to improve simulation accuracy and efficiency, leading to a 15% reduction in design iterations.Architected and deployed a robust FEA automation framework utilizing ANSA, Abaqus, Optistruct, and Python, enabling high-throughput simulation for multiple projects simultaneously.Collaborated with cross-functional teams to identify automation opportunities and implement solutions, resulting in cost savings through reduced engineering hours.Implemented surrogate modeling techniques to accelerate design optimization processes.Contributed to the development of autonomous driving systems by providing FEA expertise for structural integrity and safety.

1. Conducted a comprehensive study to design and fabricate a Stand Alone design for rehabilitation of the Upper Limb Stroke Patients. Supported professor in analyzing the EMG data to predict the hand gesture of the stroke patient. Fabricated the Mechanical model for the Soft Robotic Glove to assist the stroke Patient in hand Gestures.2. Analyzed the results of the machine learning models i.e. Random Forest Classifier, Decision Tree Classifier, and XGBoost Classifier using Fitt’s Law to get statistically proven output from the Machine learning model. Calculated an accuracy of about 92% on the personalized real-time data, and about 98% on the generalized offline dataset of 10 subjects.3. Programmed a standalone protocol for the real-time EMG data collection, signal processing, machine learning model prediction, and at the end, the pneumatically controlling the Soft Robotic Glove using Raspberry PI 4.

1. Worked on EMG data for the prediction of hand gestures using Machine Learning Algorithms. 2. Designed a data acquisition protocol for Trigo Delsys.3. Collected EMG data of about 15 healthy people for the offline training and testing of ML models.4. Acquired an accuracy of 96% on the generalized test dataset and 99% training dataset which show overfitting on the Boosting algorithms like Xgboost, and Adboost.5. Programmed simple games that were to be played with hand gesture prediction.

Worked on students from Intermediate and O- level classes. Helped to understand the core concepts of Mathematics and Physics. Evaluate them on the weekly basis to look for the understanding level. 1. Get them to achieve high marks along with conceptual understanding.2. Disseminate the updates and their results with their parents.3. worked on their Habits and Grooming to make them better versions of there self.

Worked on students from primary classes to improve their understanding of science. Help them to easily understand their complex concepts using practical examples.1. worked on about 3 students of D1 and D2.2. Improve them to understand the core concepts of sciences.3. Assist them to get top position in their Classes.

1. I got a chance to work with across the country people and learned how to work in a team.2. I worked on Web scraping and data clearing in order to get data from multiple platforms on common topics.3. Learned Data visualization, feature engineering, and data preprocessing in order to apply ML algorithms.