Python-based AI & Software Development

Developed and delivered Python-based AI and software solutions based on client requirements, focusing on automation, data processing, and intelligent applications. Built AI-powered applications using Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and API integrations. Developed document-processing and conversational AI solutions using Python, FAISS, Streamlit, and Gemini/Groq APIs. Created data analysis and automation workflows that transformed user requirements and natural-language inputs into structured analytical processes. Designed database-backed applications using SQL and Supabase, including data storage, user authentication, and progress tracking. Integrated third-party APIs and developed reusable application components for scalable workflows. Performed debugging, troubleshooting, testing, and optimization to improve application reliability and performance. Used Git and GitHub for version control, source-code management, and project collaboration. Communicated with clients to understand requirements, translate them into technical solutions, and deliver functional prototypes or applications. Documented project functionality, implementation details, and usage instructions to support maintainability and future development. Worked independently across the software development lifecycle, including requirement analysis, development, testing, deployment, and maintenance.