Anusha is a passionate AI engineer specialising in creating Proofs of Concept (POCs) for the WatsonX platform to address diverse business challenges. Her work emphasises AI model fine-tuning and prompt engineering. She brings a strong foundation in data science, leveraging experience from her prior role as Data Scientist at KPIT, where she focused on predictive analytics for electric vehicle data and explored techniques for lithium-ion battery longevity prediction using advanced machine learning models. Her journey into technology includes internships at Cognizant and Datalogy, where she gained expertise in data integration and machine learning. Anusha is well-versed in Python, SQL, and a variety of tools for data analysis, natural langauage processing, time series and machine learning. Her advanced knowledge includes implementing machine learning algorithms, time series analysis, and LLMs, along with generative AI and prompt engineering. She has also contributed to innovative research and projects, presenting at leading conferences, including the IEEE and EAI. In addition to her technical proficiency, she is keen on continuous learning and cultural exploration, including her pursuit of the Japanese language. With a flexible mindset and a dedication to expanding her horizons, Anusha is committed to integrating technical expertise with impactful research and development.