• Working on Generative AI (GenAI) projects with a focus on vector databases, specifically using Milvus.
• Implementing similarity search techniques for Retrieval-Augmented Generation (RAG).
• Assisting in the development and writing of API endpoints.
• Crafting and optimizing prompts for Large Language Models (LLM).

In this role, my primary responsibilities include:

• Performing deep data analysis and visualization to extract valuable insights.
• Developing and implementing feature generation and selection strategies to improve the performance of predictive models.
• Training, building, and deploying machine learning models using popular libraries such as scikit-learn and XGBoost, as well as AWS services, including S3 and SageMaker, for scalable model development and deployment.
• Developing a machine learning-based solution to accurately predict hourly power generation at large solar power plants, contributing to improved resource allocation and cost savings.