ABDUL GHAFFAR ANSARI

Architected an LLM-driven intelligent agent for structured information extraction, integrating vector search, database enrichment, and regression reasoning for dynamic outputs. Designed and deployed a modular hybrid AI pipeline combining transformer models, symbolic logic, and classical ML to enable multi-step reasoning and autonomous decision-making. Implemented a domain-adapted RAG system for the GreenStreaming project using dense retrievers and embeddings to enhance chatbot responses with clickable PDF citations. Operationalized AutoML pipelines to speed up experimentation and improve model generalization across diverse datasets. Leveraged Azure AI services to integrate large language models and AI APIs in workflows, enabling advanced NLP and seamless cloud-based processing.

Built scalable ETL pipelines and automated reporting, cutting data preparation and reporting time by 30%. Led CRM project that improved customer retention by 15% through segmentation and targeted marketing. Collaborated cross-functionally to deliver predictive analytics increasing marketing ROI by 20%, and applied clustering techniques to boost results by 25%. Conducted feature engineering and KPI optimization to streamline workflows and provide actionable business insights.

Built scalable ETL pipelines and automated reporting, reducing data preparation and reporting time by 30%. Led CRM project, improving customer retention by 15% through segmentation and targeted marketing. Collaborated with cross-functional teams to deliver predictive analytics, increasing marketing ROI by 20% and performing clustering for 25% better results. Performed feature engineering and KPI optimization to streamline workflows and drive actionable business insights.