

Accomplished software developer with experience across frontend, backend and full-stack development, using technologies including Vue.js, React, AngularJS, Node.js and Django. Proficient in Java, Python, PHP and JavaScript, with additional experience developing AI-focused solutions such as RAG-based systems, BERT sentiment classification and AI-powered summarisation tools.
Skilled in using Git, WordPress, Figma and Jira to support effective project delivery, with strong communication, problem-solving and client-facing abilities. Committed to building scalable, user-focused software solutions through technical curiosity, perseverance and continuous improvement.
Completed a one-year industrial placement and was offered a permanent role following completion of my degree. Contribute to the maintenance and development of large-scale, full-stack systems for eCommerce, Web-to-Print and UK gov clients, using Java, Vue.js, React, Python, PHP and HeidiSQL.
Independently designed and developed websites for a range of small businesses, delivering responsive, user-focused web solutions using platforms such as WordPress, Wix and Squarespace, alongside custom development with Node.js, Python, PHP, Vue.js, JavaScript, HTML, SCSS and CSS.
Learned Figma to create layouts, wireframes, and visual concepts, establishing a structured design-to-build workflow and laying a strong foundation in web design, responsive layouts, client communication, and end-to-end project delivery.
Portfolio examples, including my personal website, are available at pietrouberti.com and on my LinkedIn profile.
Programming Languages: Java, Python, PHP, JavaScript, HTML, CSS, SCSS
Frontend Development: Vuejs, React, AngularJS
Backend Development: Nodejs, Play !, SpringBoot & Django
Databases: SQL, HeidiSQL
AI & Machine Learning: Developing RAG-based systems, BERT sentiment classification, LLM integration, AI-powered summarisation
Tools: Git, Tortoise SVN, WordPress, Wix, Squarespace, Figma, Jira, Confluence, Teams, Microsoft Office
Professional Skills: Client communication, problem-solving, research and development, independent project delivery, technical documentation
MediMate: AI-Powered Electronic Health Record Summarisation and Clinical Safety Agent
Undergraduate Dissertation Project | Awarded 80%
Independently designed and developed an AI-driven clinical decision support system for my undergraduate dissertation, aimed at reducing medication errors in UK healthcare. Built using Vue.js and Django, the platform integrated a Retrieval-Augmented Generation pipeline with LLaMA 3.1 for Electronic Health Record summarisation and a fine-tuned BERT model for real-time prescription clash detection.
Achieved a dissertation mark of 80%, demonstrating strong capability in full-stack development, applied machine learning, healthcare-focused AI innovation and independent research delivery.
Project write-up: LinkedIn article available on profile
Duke Of Edinburgh Bronze: Awarded in 2019,
Table Tennis District Champion: Kent County Council, 2017