Rayyaan Haamid - ITAI 2376 AI & Deep Learning Portfolio 🚀: A comprehensive collection of projects and learnings from the ITAI 2376 course, showcasing hands-on experience with Azure AI, PyTorch, TensorFlow, NLP, Diffusion Models, and culminating in a solo-developed, multi-tool AI Agent capstone.

Portfolio demonstration: A lightweight demo calling Google Gemini 1.5 Flash from Python to generate healthcare ML content.

We fine tune a pre-trained model on sentiment analysis using the IMDB dataset. The model was fine-tuned and deployed locally with a FAST API endpoint.

We fine tune a pre-trained model on sentiment analysis using the IMDB dataset. The model fine-tuning and deployment is done using AWS Sagemaker.

Turn your LinkedIn or resume into a beautiful, interactive portfolio in seconds. No coding needed. AI-powered, fully responsive, with dynamic 3D and animated designs.

An innovative portfolio powered by AI that brings my GitHub activity to life. The AI assistant can discuss my projects, commits, and contributions in real-time, providing visitors with an interactive way to explore my work.

Portfolio demo: Hugging Face Space with text + image generation (poetry & painting)

An AI-powered platform that analyzes your resume or portfolio to suggest personalized, trending projects with guided step-by-step PDFs to build a standout portfolio.

95% accurate weather image classifier with TensorFlow and Grad-CAM. Demonstrates production ready ML skills: transfer learning, data augmentation, interpretability, and error analysis.

Transform any photo into a professional headshot in seconds with AI-powered enhancement. Perfect for LinkedIn profiles, resumes, and professional portfolios.

🤖 Revolutionary AI-powered portfolio system - Edit one JSON file, get a complete interactive portfolio with intelligent chatbot. Zero code required, maximum customization.

AI-powered, production-ready Next.js 14 portfolio with Tidio chat—showcase MERN/fullstack skills, real-time engagement, and mobile-first UI for developers and recruiters.

Full-stack Personal AI Portfolio with multi-provider AI support and secure deployment

Central hub for Enterprise AI Architecture: 55+ production-ready repos, consulting toolkits, Azure solutions & Three-Layer AI Framework

A clean, modular, client-side WordPress plugin that generates personalized ETF investment portfolios based on risk tolerance, values, and financial goals. Includes CSV export, PDF reports, shortcode integration, and future-ready AI enhancement points. Built with vanilla PHP, HTML, CSS, and JavaScript.

A conversational AI medical chatbot built with a RAG pipeline using LangChain, Groq, and Streamlit. This project ingests medical documents to provide fast, context-aware answers to user queries.

A framework for building AI correctly and managing it continuously. Three-Layer Architecture + Portfolio Intelligence.

Multi-level Retrieval-Augmented Generation (RAG) systems for document Q&A, progressing from basic local pipelines to enterprise-grade architectures using LlamaIndex, LlamaParse, MixedBread, Groq, and Docker.

Production-grade Full-Stack AI Portfolio built with FastAPI, Jinja2, Tailwind CSS, and Groq LLM.