Ibtasam Ahmad

Built AI pipelines including data ingestion, LLM fine-tuning, and vector indexing, enabling scalable enterprise AI systems. • Designed and deployed RAG pipelines for report generation and contextual chatbots, reducing manual reporting efforts by 60%. • Automated property insights generation using BigQuery and summarization agents, improving analysis turnaround time by 40%. • Delivered custom fine-tuned AI tools using OpenAI, Hugging Face, and JSON prompting, tailored to client-specific tasks.

• Delivered custom chatbots and voicebots using RAG and generative AI models, deployed in production for business clients. • Designed web applications and APIs (Django REST, Flask, FastAPI) integrating AI pipelines with front-end systems. • Developed ML/DL workflows for NLP, CV, and time series analysis, enabling predictive analytics for clients. • Applied LLMs (OpenAI, Hugging Face) for automated content creation and knowledge extraction.