Skip to content
View rayansyed95's full-sized avatar
0 followers · 2 following

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Block or report rayansyed95

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
rayansyed95/README.md

Rayan Syed — AI & ML Engineer

BSc Software Engineering (First Class Honours) · Buckinghamshire New University

A Software Engineering graduate specialising in Machine Learning, Generative AI, and Intelligent Systems. Experienced in designing and deploying AI-powered applications using Python, LLM APIs, and modern ML frameworks.

LinkedIn

Technical Skills

Languages Python SQL

AI / LLMs OpenAI Anthropic Gemini LangChain LangGraph

ML / NLP Scikit-learn TensorFlow PyTorch Pandas NumPy XGBoost

Frameworks Streamlit FastAPI Supabase

Dev Tools Git GitHub VS Code Cursor Jupyter

Certifications & Education

Qualification Institution
🎓 BSc Software Engineering — First Class Honours Buckinghamshire New University
☁️ AWS Certified Cloud Practitioner (Valid until Jun 2029) Amazon Web Services
✅ AI Engineering Programme (BCS Accredited) IT Online Learning UK
✅ Coding Diploma (BCS Accredited) IT Online Learning UK
✅ Foundation: Introduction to LangChain – Python (Jun 2026) LangChain Academy
📘 TensorFlow Developer Google (In Progress)
📘 Generative AI & Prompt Engineering Coursera / Google Cloud
📘 Data Science with Python
📘 Python for Machine Learning – Scikit-learn

Featured Projects

🎙️ AI Panel Discussion - Production Ready

A multi-agent orchestration system integrating GPT-4o, Gemini, and Claude into a unified debate interface with live web search, rolling context memory, and human-in-the-loop moderation. Built with Python and Streamlit.

Python Streamlit OpenAI Anthropic Gemini Multi-agent Prompt Engineering

📄 AI-Resume-Builder-FYP - Production Ready

A full-stack Generative AI application for automated resume generation, powered by GPT-4. Built with a Streamlit frontend, Supabase backend, Google OAuth authentication, and PDF export via Spire.Doc.

Python Streamlit Supabase OpenAI GPT-4 FastAPI Google OAuth

🔍 Advanced RAG Pipeline - Production Ready

A production-grade Retrieval-Augmented Generation pipeline featuring Hybrid Search (semantic + keyword), Reciprocal Rank Fusion, Cross-Encoder re-ranking, and query transformation via GPT-4o-mini. Includes an interactive Streamlit chat interface with session history.

Python ChromaDB LangChain OpenAI Sentence Transformers RAG

📩 SMS Spam Classifier - Ready for deployment

End-to-end text classification pipeline using Multinomial Naive Bayes and TF-IDF, achieving 97% accuracy with 100% precision to eliminate false positives.

Python NLTK Scikit-learn NLP Naive Bayes

🎬 Movie & TV Recommendation Engine - Optimising

Content-based recommendation system spanning 6 major streaming platforms, built using TF-IDF vectorisation and cosine similarity.

Python Scikit-learn NLP TF-IDF Jupyter

Always building. Always learning. 🚀

Pinned Loading

  1. AI-panel-discussion-project AI-panel-discussion-project Public

    Multi-agent AI debate app — GPT-4o, Gemini, and Claude discuss any topic with live web search and shared memory. Built with Python & Streamlit.

    Python

  2. AI-Resume-Builder-FYP AI-Resume-Builder-FYP Public

    An advanced AI-powered Resume Builder and ATS Optimizer built with Streamlit, Supabase, and OpenAI GPT-4o. Includes resume parsing, ATS score matching, and professional PDF generation.

    Python

  3. Advanced-RAG-1 Advanced-RAG-1 Public

    An advanced, production-grade Retrieval-Augmented Generation (RAG) pipeline featuring Hybrid Search (semantic + keyword), Reciprocal Rank Fusion (RRF), Cross-Encoder re-ranking, query transformatio…

    Python

  4. sms-spam-classifier sms-spam-classifier Public

    An end-to-end SMS Spam Classifier in Python using TF-IDF, NLTK, and Multinomial Naive Bayes, optimized for 100% precision to prevent false positives.

    Jupyter Notebook

  5. movies-tvshows-recommendations movies-tvshows-recommendations Public

    A content-based Movie & TV Show Recommendation System built on title catalogs from 6 major streaming services (Netflix, Prime Video, Disney+, HBO Max, Apple TV+, and Paramount+). Uses TF-IDF and Co…

    Jupyter Notebook