Aishwarya.

• Analysing AI's role in test automation, particularly focusing on optimizing test report generation, which constitutes 30% of the automation process. Aim to integrate AI tools for enhanced efficiency.
• Explored practical applications of large language models, including prompt engineering and fine-tuning techniques applied for data analysis and retrieval.
• Application of transforming the data to the desired format, parsing and chunking.
Skills gained : LLM, prompt engineering, python, data analysis, Basics of SQL, TeXstudio, Test Report Understanding, RAG(Semantic Search), | Soft Skills: Time Management, Networking, Problem-solving, Open-mindedness, extracurricular participation.

• Analysing AI's role in test automation, particularly focusing on optimizing test report generation, which constitutes 30% of the automation process. Aim to integrate AI tools for enhanced efficiency.
• Explored practical applications of large language models, including prompt engineering and fine-tuning techniques applied for data analysis and retrieval.
• Application of transforming the data to the desired format, parsing and chunking.
Skills gained : LLM, prompt engineering, python, data analysis, Basics of SQL, TeXstudio, Test Report Understanding, RAG(Semantic Search), | Soft Skills: Time Management, Networking, Problem-solving, Open-mindedness, extracurricular participation.

• Modules: ML with Python and Matlab, International Accounting, Vehicle Management Systems (Simulink), Vehicle simulation and Test drive (IPG Carmaker), International Economics and Trade.
• Master’s Thesis: ‘Analysis of AI Introduction in John Deere Test Automation’(focusing on test report generator).

• Modules: Computer Aided Design, Theory of Machines, Control Engineering, Mechatronics, Automotive Engineering, C.
• Bachelor’s Thesis: ‘Autonomous Floor Cleaning Robot’.