• Conducted comprehensive familiarization process in granulation techniques• Reviewed literature, attended seminars, and collaborated with industry experts• Identified recent advancements and best practices in granulation• Synthesized insights from peer-reviewed articles, journals, and industry reports• Acquired relevant data on process parameters and raw materials from digital databases and academic sources• Employed statistical analysis techniques to explore data relationships• Developed predictive models using machine learning algorithms• Ensured accuracy and reliability through rigorous validation and comparison• Pursued reverse engineering objectives to decipher inputs for specific tablet attributes

• Experience in analyzing data collected from test drives to enhance model performance and contributed to automating the analysis process.• Additionally, focus on refining the vehicle's lateral control to ensure its stability on the road and safeguard it from potential hazards. This involved implementing features such as lane departure warning and lane-keeping aids.• Implemented automation solutions to streamline assembly line operations and reduce cycle times• Collaborated with cross-functional teams to identify automation opportunities and develop customized solutions to meet specific manufacturing requirements• Conducted feasibility studies and cost-benefit analyses to evaluate the potential impact of automation projects• Provided technical support and training to production teams for the successful integration and operation of automated systems

• Developed an integrated code for the implementation of a lane-centering algorithm using a Model Predictive Controller. This project involves the application of MATLAB, Simulink, IPG- Carmaker and Carsim software.• It has been successful in simulation trials, and it will be approved as an ongoing technology after getting the necessary approvals from the company and the Government.• Additionally, assisted in the design and prototyping of robotic components for research and development projects• Conducted experiments and collected data to analyze the performance of robotic systems under different operating conditions• Contributed to the documentation and presentation of research findings for internal and external stakeholders

Worked on lane centering algorithm using MPC controllers:• Developed an integrated code using MATLAB and Simulink for implementing a lane-centering algorithm.• Utilized a Model Predictive Controller for precise control.• Worked with IPG-Carmaker and Carsim software for simulation trials.• Conducted experiments to evaluate the performance of vehicle systems under different operational conditions.• Collected and analyzed data to assess system behavior and identify areas for improvement.• Supported in documenting research findings and presenting them to internal and external stakeholders.• Ensured clarity and coherence in reports and presentations to facilitate understanding by diverse audiences.