• Hackathon winner: Built an LLM tool (LangChain) to auto-generate BDD test cases from requirements; adopted into the team's QA workflow. • Full-stack development using Python (Flask), Angular/AngularJS, and PHP (Laravel, CodeIgniter) for REST APIs, dashboards, and backend features. • Designed MSSQL database models and implemented GnuPG-encrypted secure file transfer for internal automation.

• Delivered a business pitch with a team of 8 proposing a plan to reduce energy consumption by 40% at Baskerville House.

• Produced SEO-optimised technical content; improved audience retention by 5%.

• Designed and built data insight dashboards using Figma and React.js.

Projects: Impact of Population Dynamics on US Real Estate Prices • Predicted price fluctuations with 76% accuracy using ML models trained on population, density, crime, and income data. VAT & GDP Interaction Across UK City Regions [1998–2021] • Modelled correlations between VAT, GDP, and CVM metrics; forecasted economic parameter trends to 2030. Student Representative — Primary liaison between 75 students and faculty, helping resolve academic challenges.