Muhammad Abdullah

• Conducted in-depth research on diverse machine learning and computer vision techniques.
• Authored a comprehensive research paper documenting methodologies and findings
• Analyzed and compared multiple models to identify the most effective solutions for the problem domain.

• Developed an AI agent using OpenAI with RAG over Supabase vector store for clinical FAQ and document retrieval
• Automated patient appointment scheduling via Google Calendar, Sheets, and multi-step n8n workflows
• Built subscription management system with automated Gmail alerts and Supabase-based client lifecycle tracking

• Designed and implemented AI-driven automation solutions in a freelance environment
• Developed agentic AI systems for real-world use cases
• Created low-code automation workflows using n8n

• Performed data cleaning and preprocessing to improve data quality and reliability.
• Conducted exploratory data analysis (EDA) to identify trends, patterns, and insights
• Created data visualizations to communicate actionable insights and support project decisions

• Developed an automated text summarization tool using Hugging Face Transformers and NLP preprocessing
techniques.
• Fine-tuned transformer models to improve summarization accuracy and collaborated with cross-functional teams to
integrate and deploy models into production.
• Applied Python, NLP, TensorFlow, and PyTorch to execute end-to-end machine learning workflows in real-world
projects.