Python developer - AWS- AIML

You have experience with the FastAPI framework and asynchronous programming paradigms. You possess a solid understanding of RESTful API design and microservices architecture. Additionally, you have hands-on experience with AI concepts including Data ingestion, embeddings, prompt engineering, and retrieval-augmented generation (RAG). Your proven ability includes developing standalone desktop applications using Python frameworks such as PyQt or Tkinter. You also have expertise in Python libraries for data analytics such as pandas, openpyxl, and pypdf. Furthermore, you have experience working with Excel, DOCX, and PDF document formats for data extraction and analysis. You are proficient with Git for version control and collaborative development. Your skill set includes strong analytical abilities, problem-solving skills, and effective communication. - Experience with FastAPI framework and asynchronous programming paradigms - Solid understanding of RESTful API design and microservices architecture - Hands-on experience with AI concepts including Data ingestion, embeddings, prompt engineering, and retrieval-augmented generation (RAG) - Proven ability to develop standalone desktop applications using Python frameworks such as PyQt or Tkinter - Expertise in Python libraries for data analytics (e.g., pandas, openpyxl, pypdf) - Experience working with Excel, DOCX, and PDF document formats for data extraction and analysis - Proficient with Git for version control and collaborative development - Strong analytical, problem-solving, and communication skills. You have experience with the FastAPI framework and asynchronous programming paradigms. You possess a solid understanding of RESTful API design and microservices architecture. Additionally, you have hands-on experience with AI concepts including Data ingestion, embeddings, prompt engineering, and retrieval-augmented generation (RAG). Your proven ability includes developing standalone desktop applications using Python frameworks such as PyQt or Tkinter. You also have expertise in Python libraries for data analytics such as pandas, openpyxl, and pypdf. Furthermore, you have experience working with Excel, DOCX, and PDF document formats for data extraction and analysis. You are proficient with Git for version control and collaborative development. Your skill set includes strong analytical abilities, problem-solving skills, and effective communication. - Experience with FastAPI framework and asynchronous programming paradigms - Solid understanding of RESTful API design and microservices architecture - Hands-on experience with AI concepts including Data ingestion, embeddings, prompt engineering, and retrieval-augmented generation (RAG) - Proven ability to develop standalone desktop applications using Python frameworks such as PyQt or Tkinter - Expertise in Python libraries for data analytics (e.g., pandas, openpyxl, pypdf) - Experience working with Excel, DOCX, and PDF document formats for data extraction and analysis - Proficient with Git for version control and collaborative development - Strong analytical, problem-solving, and communication skills.