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kmathew994/README.md

Hi, I'm Kevin Mathew 👋

🎓 Master's in Computer Science (Data Science & AI) @ University of Sydney | Graduating August 2026

🤖 AI Engineer | Building intelligent systems with LLMs, LangGraph & Python

📍 Sydney, Australia | Open to full-time AI & ML roles


🚀 Featured Projects

⚡ Agentic AI Financial Analyser

Multi-step agentic AI system that autonomously processes Australian bank CSVs (CBA, ANZ, Westpac, NAB) through a LangGraph reasoning pipeline with anomaly detection and LLM-generated reports.

Stack: LangGraph · Claude API · Streamlit · Python

🔗 View Project


🚀 Gen AI Text Generation App

Generative AI powered chat application built with Azure AI Foundry and Streamlit with conversation memory and dynamic parameter control.

Stack: Azure AI Foundry · Streamlit · Python

🔗 View Project


🛠️ Tech Stack

Python LangChain Azure Streamlit PyTorch


📚 Publications

📄 Cyberbullying Detection on Twitter using Sentiment Analysis Journal of Electrical Systems · Jul 2024

📄 A Review on Cyberbullying Detection on Twitter Dataset IEEE · Mar 2024


📊 My Work

Project Tech Status
🤖 Agentic AI Financial Analyser LangGraph · Claude · Streamlit ✅ Live
🚀 Gen AI Text Generation App Azure AI Foundry · Streamlit ✅ Live
🏥 Hospital Management System PLpgSQL ✅ Complete

🤝 Let's Connect!

LinkedIn Email

Popular repositories Loading

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  2. Gen-AI-Text-Generation-App Gen-AI-Text-Generation-App Public

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  3. Central-Sydney-Hospital-Management-System Central-Sydney-Hospital-Management-System Public

    Database Systems Project

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  4. Agentic-AI-Financial-Analysis Agentic-AI-Financial-Analysis Public

    Multi-step agentic AI expense analyser built with LangGraph, Claude, and Streamlit. Autonomously processes bank CSVs through categorisation, anomaly detection, and NL report generation.

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  5. kmathew994 kmathew994 Public

  6. PhishAI PhishAI Public

    Multi-channel Android phishing detection system using LangGraph, Gemini 2.0 Flash, and FastAPI. Detects phishing across SMS, WhatsApp, Gmail, calls, and Zoom in real time.