Fridalí Gaias
Soon-to-be BSc Computer Science graduate from the University of Westminster, currently predicted for First-Class (1st) Honours, with a deep-seated passion for the intersection of Artificial Intelligence and human-centric Design & Development.
Experience
Research Assistant
University of Westminster
- Project: AI for Better Learning: Automating Organisation of Learning Concept Maps to Improve Student Understanding.
- Develop and evaluate a conversational AI system chat bot for academic knowledge modelling and student learning support.
- Work with LLM pipelines and graph-based methods to structure and validate complex content.
Selected Projects
womyn.network: an Edge-Based Defensive AI social media platform
Designed and developed womyn.network, a security-first Single Page Application (SPA) built to redefine the digital space for women. Integrated defensive, human-centred AI into the client-side architecture to enable proactive safety.
Autonomous Robot Navigation
Implemented a Q-learning algorithm (Python/NumPy) for autonomous navigation in unknown environments. Evaluated performance against an MLP model, analysing limitations of supervised learning.
Risk-Aware Pedestrian Navigation
Built a custom A* search algorithm in Python to optimise walking routes based on distance and safety risk. Integrated OpenStreetMap data with 1M+ Police.uk crime records using efficient spatial indexing.
Dynamic Control System Modelling
Modeled a non-linear two-tank fluid system using MATLAB and Simulink. Designed a closed-loop PID controller for autonomous level regulation and conducted stability analysis using Bode and step response methods.
Medical Survival Prediction System
Built classification and regression models (k-NN, Logistic Regression, Decision Trees) to predict patient mortality and survival time. Applied rigorous preprocessing, GridSearchCV optimisation, and validation.
SKY Health Check Django App
Developed a responsive, user-focused full-stack platform using Python and Django. Implemented core user flows, enhancing usability, and took a leading role in planning, organisation, and UX/UI design.
Skills
Tools & Languages
TF.js, JavaScript, HTML, CSS, Python, Git, Java, Node.js, SQL, Postman, Jupyter Notebook, MATLAB, Simulink, Kali Linux tools, Tkinter
AI, Systems & Security
Model Integrations, LLMs, Machine Learning techniques, AI Methodologies & Ethics, OOP, Database Management, Software Development Principles, UX/UI Design, Cybersecurity Principles
Communication
English, Spanish, Italian
Education & Recognition
BSc (Hons) Computer Science
University of Westminster (2022-2026)
Thesis: Engineering a Security-First SPA: Implementing Edge-Based Defensive AI for a Female-Centric Platform
AI Pathways Scholarship
Cognizant
Winner of a fully funded place on the APMG Artificial Intelligence Practitioner course. The program includes a Tech4Good placement with Cloud Crew to deliver pro-bono solutions for charities.