AALIA RIZVI

First-year Computer Science student at City St George's, University of London with First Class Year 1 results. Experienced in Python, Java and Agentic AI systems, with projects spanning cloud computing, autonomous content generation and API-driven applications. Currently serving as Communications Officer for the Data Science & AI Society and building cloud-native applications using AWS services.

• Hugging Face Agentic AI course
• AWS cloud practitioner- ongoing
• Unlocking AI and Computer Science Program-KCL
• Google AI Studio Workshop

• AWS Cloud Practitioner Certification In Progress | June 2025
• KCL Computer Science and AI Programme King's College London | 2024 Add exact name when you find it.
• Google AI Studio Workshop Google | 2024
• Hugging Face AI Agents Course Completed | 2025

• Achieved First Class results across all Year 1 Computer Science modules.
• Communications Officer for the Data Science & AI Society.
• Developed an autonomous AI-powered content generation system.
• Selected for the AWS Cloud Practitioner Programme.
• Completed the Hugging Face AI Agents Course.
• Completed Capgemini Technology & Finance Experience Week.
• Provided one-to-one Mathematics tutoring for secondary school students.
• Completed Hugging Face AI Agents Course.
• Mathematics Tutor supporting secondary school students.

DSAI Instagram Agent AWS Space Explorer Agent Growth – Wellbeing & Productivity Application

Python, LangGraph, LlamaIndex, OpenAI, NewsAPI

• Built an AI-powered system that automatically creates educational Instagram content on AI and data science topics.
• Used LangGraph to coordinate different agents responsible for researching news, generating posts and reviewing content quality.
• Integrated NewsAPI and web search tools to gather up-to-date information for post creation.
• Added memory and quality-checking features to reduce repetition and improve the accuracy of generated content.
• Developed the project to support the online presence of the university Data Science & AI Society.

AWS Space Explorer Agent

Python, AWS Lambda, DynamoDB, API Gateway, NASA APIs

• Developing a space exploration assistant that allows users to query NASA datasets in natural language through an agent-based architecture.
• Connected multiple APIs, including NASA APOD, NASA Exoplanet Archive, Open Notify ISS and DONKI Space Weather services.
• Designed and implemented a serverless cloud architecture using AWS Lambda, DynamoDB, API Gateway, S3 and CloudWatch.
• Created an agent layer that determines which API should be used based on the user's query.
• Extended the original AWS course project by adding autonomous decision-making and support for multiple data sources.

Growth – Wellbeing & Productivity Application

Python | A-Level Computer Science NEA

• Designed and developed a wellbeing and productivity application to help users manage tasks and track personal goals.
• Implemented features for task organisation, productivity monitoring and wellbeing tracking through an interactive user interface.
• Followed the full software development lifecycle, including planning, design, implementation, testing and evaluation.
• Developed functionality for storing and analysing user data to provide insights into productivity habits.
• Produced detailed project documentation covering system design decisions, testing and evaluation of the final solution.

• Artificial Intelligence & Agentic Systems
• Cloud Computing
• Astronomy & Space
• Reading
• Henna Art
• Crochet
• Fitness