I am a DevOps engineer at Ragioneer, a company that specializes in developing RAG-based applications for various domains. RAG is a framework that combines retrieval and generation techniques to create natural language systems that can answer complex questions. At Ragioneer, I craft robust architectures tailored to meet the unique demands of diverse applications. I use AWS services such as Lambda and API Gateway to deploy and maintain scalable and secure cloud-based solutions. I also leverage my Python development skills, harnessing the power of FastAPI frameworks to engineer efficient and responsive applications. Furthermore, I implement semantic search functionality using vector storage solutions like ChromaDB and Pinecorn, enriching user experiences and driving application utility.I graduated with a BSc (Hons) in Space Science from Karachi University in 2021. I am passionate about cloud computing, machine learning, artificial intelligence, and data science. I have acquired multiple certifications from Coursera on data science topics, such as Data Science Orientation, Tools for Data Science, and IBM Data Science Methodology. I have also developed a strong foundation in Python programming and cloud technologies, as well as a keen interest in AI applications, especially in natural language processing and understanding.