

Hybrid Cybersecurity and AI-focused technologist with a strong foundation in offensive security, digital forensics, and Python-based automation. Experienced in applying scripting and data-driven techniques to threat analysis, secure system design, and AI-powered applications through academic, hackathon, and simulated industry environments. Actively seeking entry-level or graduate roles across Security Operations, Penetration Testing, and AI-enabled security engineering.
Advanced Penetration Tester, Red Team Hacker Academy, 2024-09-01
· Sustainability Council AI Agent | Google Gemini API, Python, JSON, Vercel | Hackathon | November 2025
· The Problem:Traditional policy discussions lack rapid, structured evaluation of competing viewpoints, making it difficult to analyze complex sustainability decisions.
· The Solution: Designed and implemented a multi-persona AI agent system simulating structured debates between distinct roles (e.g., Scientist vs. Economist). Integrated Gemini API with JSON-mode outputs to automate argument parsing and dynamically render insights in a web interface.
· The Outcome: Delivered a fully deployed AI-driven application within 5 days, strengthening hands-on experience in cloud deployment, API debugging, automation, and applied AI reasoning under real-world constraints.
· Secure Hospital Management System | Python, SQL, HTML/CSS, JavaScript | Academic Project
· The Problem: Healthcare systems require secure handling of sensitive patient data while remaining resilient against common web-based attacks.
· The Solution: Built a secure patient management platform implementing hashed authentication mechanisms, server-side input validation, and secure database interactions. Applied defensive coding practices to mitigate SQL Injection and XSS vulnerabilities.
· The Outcome: Improved understanding of secure system design, threat modeling, and defensive programming while reinforcing secure data handling principles aligned with cloud security and compliance expectations.
· Home-E: Smart Surveillance Bot | ESP32, Python, C++ | Academic Project
· The Problem: Manual surveillance and monitoring systems are inefficient and error-prone in dynamic environments.
· The Solution: Developed an automated surveillance prototype integrating microcontrollers with Python-based automation workflows to enable real-time monitoring and response.
· The Outcome: Enhanced skills in embedded systems, automation, and debugging while exploring intersections between physical security and software-driven intelligence.
· 2nd Place Winner: MDX Hackathon Prompting Challenge (2025) – Led the web strategy and front-end integration for the winning team.
· Finalist: Odoo Business Hackathon – Developed a custom CRM module tailored to specific client business logic.
· 4th Place: University Capture The Flag (CTF) – Competed in network exploitation and reverse engineering challenges.