I am a cybersecurity professional with a strong foundation in network defense, software engineering, and machine learning for threat detection. My work focuses on designing secure, scalable systems that mitigate real-world cyber risks — including intrusion detection, DNS poisoning prevention, and decentralized fraud monitoring.

I am currently pursuing a Master of Science in Cybersecurity at DePaul University, specializing in Networking and Infrastructure. I hold dual undergraduate degrees in Computer Science and Business Administration from the University of Illinois Chicago, where I was a 3× Dean’s List recipient.

Alongside my academic journey, I lead a digital agency committed to empowering small businesses through modern web development, AI solutions, and cybersecurity consulting. I also contribute to open-source and independent projects, with a focus on secure protocol design, anomaly detection, and system integrity verification.

My goal is to merge security engineering with innovation, building infrastructure that is not only functional — but resilient by design.

• 🔐 Cybersecurity Engineering – Honeypots, intrusion detection, DNS manipulation, secure system design
• 🧠 Machine Learning for Security – Real-time fraud detection, anomaly detection, behavioral analytics
• 🛠️ Full-Stack Development – FastAPI, Node.js, React, MongoDB, RESTful & event-driven architecture
• 🎨 Immersive Web Experiences – GSAP, Three.js, Barba.js, motion design for modern UIs
• 📈 Startup Strategy & Consulting – MVP development, product-market fit, digital automation for SMBs

• 🛡️ ScamurAI — Fraud Detection Firewall
  Developed a decentralized fraud detection system using machine learning and Gun.js, achieving 92% accuracy with alerts under 1.5 seconds. Deployed a React dashboard for real-time threat monitoring and visualization.

• 🎯 Honeypot — Intrusion Detection Simulator
  Simulated SSH and HTTP services in Python to attract attackers, collecting over 1,000 unique intrusion attempts. Automated classification reduced threat reporting time by 50%.

• 🌐 Malicious Proxy Server
  Built a transparent HTTP/HTTPS proxy using sockets for deep packet inspection. Reduced unauthorized transmissions by 40% and flagged anomalous traffic in real time.

• 🧪 DNS Poisoning Detection System
  Engineered a hybrid detection tool combining Wireshark traffic logs with Python-based anomaly detection. Accelerated spoofing alert time by 40% in testing.

• 🧬 DNS Injection Simulation Tool
  Simulated forged DNS attacks using Scapy and dnspython in multiple network environments. Strengthened testing protocols and improved security coverage by 60%.

Reach out for demos, freelance requests, or collaboration on research and open-source security tooling.

• 📧 Email: jaymeet5087d@gmail.com
• 🔗 LinkedIn: LinkedIn
• 🌐 Portfolio: Jimmy Patel

“Security is not a product, but a process.” – Bruce Schneier