🎯 AI enthusiast · LLM apps · RAG · Full-stack (Python / React)

• 🧑‍🎓 Undergraduate student in Computer Science
• 🤖 Interested in LLM applications, AI for education, and AI tooling
• 🏛️ Currently: Junior AI Placement Student

• AI / ML & LLMs

  • Python · basic PyTorch/TensorFlow
  • Meta Llama 2 integration
  • Hugging Face ecosystem (transformers, pipelines)
  • Prompt design & basic evaluation

• Web & Backend

  • React · TypeScript
  • Flask / FastAPI · REST APIs
  • PHP · MySQL · MongoDB

• Dev & Workflow

  • Git · GitHub
  • GitHub Actions (CI)
  • Docker (learning)
  • Jupyter, VS Code

• Adaptive Learning Platform
  Full-stack AI education platform built with React/TypeScript (frontend), Python (FastAPI/Flask) + MongoDB (backend), and Meta Llama 2 via Hugging Face for question-answering and personalised learning recommendations. Shows experience with LLM integration, REST APIs, and data-driven learning features.

• LLM Chatbot Testing Tool (Ongoing Project)
  Ongoing project for a Python toolkit that runs prompts from CSV/Excel through multiple LLM chatbots (e.g. HKChat + Perplexity), captures outputs, and will later use an LLM-based evaluator to automatically mark each test as PASS/FAIL based on expectations.

• AI Content Marketplace Prototype
  Small Flask-based prototype of an AI-assisted content marketplace, with endpoints to upload content and (planned/initial) AI-powered summarisation and tagging. Focused on building simple, clean REST APIs and experimenting with AI for content workflows.

• Communication and Assignment Sharing Platform
  Team project: full-stack web app for student chat, assignment sharing, and file uploads, built with React/TypeScript frontend and PHP + MySQL backend. Includes JWT-based authentication, REST APIs, and a structured database schema for users, messages and assignments.

• GitHub: @RoLBester
• Email: route.mirror6044@eagereverest.com