Ummee Awang

Designed and developed AI-powered web applications using Python, Django, React.js, and modern AI technologies. Built and integrated LLM-powered solutions to enhance application functionality, automate tasks, and improve user experience. Developed AI agents and agentic workflows for multi-step task support, intelligent decision-making, and business process automation. Implemented prompt engineering techniques to improve accuracy, relevance, and consistency of LLM outputs. Developed backend services and REST APIs using Python and Django for scalable and secure applications. Built responsive React.js frontend interfaces using reusable UI components. Created automated workflows using n8n to connect APIs, third-party services, databases, and AI services. Integrated AI models and external APIs into web applications to deliver intelligent features and streamline operations. Implemented data processing, validation, error handling, and API integrations to ensure reliable communication between

Designed and developed advanced AI models and algorithms for complex applications. Oversaw deployment of AI models into production environments for real-world use. Collaborated with cross-functional teams to integrate AI solutions with business goals. Stayed up to date with AI trends and research to implement cutting-edge technologies. Optimized AI models for improved performance, scalability, and accuracy. Mentored and guided junior engineers, providing technical leadership in AI projects. Ensured AI systems adhered to ethical guidelines and relevant regulatory standards. Managed and preprocessed large datasets to ensure quality inputs for AI model training.

Analyzed large datasets to extract valuable insights and trends. Cleaned, preprocessed, and organized data for analysis and modeling. Collaborated with cross-functional teams to align data-driven solutions with business goals. Applied statistical methods to analyze and interpret data patterns. Created data visualizations and reports to clearly communicate findings. Built and optimized algorithms to improve the data analysis process, ensuring accuracy, security, and compliance with relevant regulations. Continuously updated knowledge of data science tools, techniques, and industry trends.