3
2
1 year of experience
AI researcher and builder with a Master's in Artificial Intelligence. I work on intelligent systems that combine machine learning, knowledge graphs, and retrieval-augmented generation to solve real-world problems. My background spans both research and operations, which means I care about AI that's not just technically sound, but actually useful. Currently exploring agentic AI, NLP, and how smart systems can support complex decision-making.

VANGUARD is an AI-powered open web threat intelligence platform built to fill the blind spots that traditional security tools miss. While SIEMs and firewalls protect the perimeter, they can't see credential dumps on paste sites, silent regulatory updates, or vendor breaches spreading across the open web. VANGUARD solves this by running three parallel detection modules — a Threat Surface Monitor, a Regulatory Change Tracker, and a Vendor Risk Radar — that continuously scan the open web for signals relevant to your organization. All findings are fed into Groq's LLaMA-3.3-70B model, which classifies each alert by severity, extracts indicators of compromise, and generates actionable recommendations in under 30 seconds. Built with React and Vite on the frontend and deployed on Netlify, VANGUARD delivers a cinematic, real-time threat dashboard that turns raw open-web noise into a structured, severity-ranked intelligence report — giving security teams the early warning system they've always needed, powered entirely by AI.
31 May 2026

AI Trading Agents An automated AI-powered trading system designed to analyze market data, generate trading signals, and execute trades using configurable strategies. 🚀 Features 📊 AI-based trading decision making 🔌 Integration with Kraken API 🧪 Paper trading mode for safe testing ⚙️ Configurable trading parameters 📈 Modular and extensible architecture 🗂️ Project Structure AI-Trading-Agents/ │── ai_agent.py # Core AI trading logic │── app.py # Main application entry point │── config.py # Configuration settings │── kraken_client.py # Kraken API integration │── paper_trader.py # Paper trading simulation │── requirements.txt # Dependencies │── .env # Environment variables
12 Apr 2026