Python GPT Developer with a strong background in data science and a passion for enhancing Retrieval-Augmented Generation (RAG) systems and developing intelligent AI solutions. I specialize in creating innovative features, automating workflows, and deploying large language models (LLMs) to tackle complex challenges and deliver impactful results. With expertise in data analysis, AI/ML, and backend development, I excel at transforming raw data into strategic business assets. ---**Technical Skills** - **Programming:** Python - **Databases:** MySQL, PostgreSQL, MongoDB, Vector Databases (Pinecone, Qdrant) - **AI/ML:** scikit-learn, PyTorch, OpenAI, LangChain, LlamaIndex - **Data Analysis:** Pandas, Seaborn, Matplotlib - **Backend:** Flask, FastAPI - **Deployment Tools:** Docker, Docker Compose ---**Experience** - **RAG System Enhancements:** Improved RAG technologies by implementing chunking strategies, custom vocabulary, prompting techniques, long-term memory, and reranker models for cutting-edge AI solutions. - **AI Agent Development:** Developed agents using frameworks like LangGraphs and LlamaIndex workflows to optimize complex processes, such as email automation and password resets. - **AI Chat Tools:** Designed and enhanced AI chat tools, enabling advanced query handling and addressing real-world applications effectively. - **Recommendation Systems:** Built robust user recommendation systems that increased engagement and retention by leveraging innovative algorithms. - **Predictive Modeling:** Created models such as RFM, purchase propensity, and LTV to solve analytical challenges in e-commerce. - **Keyword Analysis:** Performed in-depth keyword analysis to gain actionable insights into data trends. - **Performance Enhancement:** Elevated performance metrics by improving accuracy and optimizing predictive models. - **LLM Deployment:** Deployed large language models (LLMs) on enterprise-grade servers using tools like Ollama, vLLM, and NIMS containers.