🏆 IEEE IMC 2026 Best Paper Award Recipient

Interested in cybersecurity, distributed systems, machine learning systems, backend development, cloud/platform engineering, AI systems, and full-stack development.

Computer Engineering student specializing in cybersecurity with experience in AI systems, distributed systems, backend engineering, full-stack development, and database design. Former AI Developer Intern at Mizuhada Group, where I developed enterprise AI solutions including a Retrieval-Augmented Generation (RAG) chatbot for internal knowledge management.

🏆 Co-author of ESNIDSaaS: Enabling Efficient and Scalable Network Intrusion Detection System as a Service, which received the Best Paper Award at the 14th IEEE International Conference on Intelligent Mobile Computing (IEEE IMC 2026), held as part of CISOSE 2026 in Fukuoka, Japan.

I enjoy building scalable software systems that combine cloud computing, cybersecurity, artificial intelligence, and modern backend technologies to solve real-world problems.

• 🏆 Best Paper Award — IEEE IMC 2026 (CISOSE 2026)
• 📄 Co-author of ESNIDSaaS: Enabling Efficient and Scalable Network Intrusion Detection System as a Service
• 🤖 Built OpsBot, a production RAG-powered enterprise chatbot using Google ADK, Gemini, FastAPI, ChromaDB, and React
• 🔒 Passionate about Cybersecurity, AI Systems, Distributed Systems, and Backend Engineering

Python • Java • C • C++ • C# • TypeScript • JavaScript • SQL • PHP • HTML/CSS

React • Next.js • Node.js • Express.js • FastAPI • TailwindCSS • .NET

Google ADK • Gemini API • ChromaDB • Pandas • Kafka • Spark Structured Streaming

MySQL • PostgreSQL • MongoDB

Docker • Git • GitHub Actions • Postman • Arduino • Figma

Cloud-native Network Intrusion Detection System as a Service (NIDSaaS) built using Apache Kafka, Spark Structured Streaming, Snort, Random Forest, HistGradientBoosting, and Split-Conformal Prediction.

🏆 Winner of the Best Paper Award at the 14th IEEE International Conference on Intelligent Mobile Computing (IEEE IMC 2026), held as part of CISOSE 2026.

Enterprise Retrieval-Augmented Generation (RAG) chatbot developed during my internship at Mizuhada Group.

Tech Stack: Google ADK • Gemini • FastAPI • React • TypeScript • ChromaDB • SQLite

Full-stack MERN expense management application with RESTful APIs and modern UI.

Interactive networking education platform featuring subnetting tools, protocol simulations, routing visualization, and hands-on networking labs.

Full-stack PHP/MySQL web application with authentication and inventory management.

Cross-platform CLI utility that prevents the system from sleeping or turning off the display.

Embedded systems project using keypad input and 7-segment displays.

Fully normalized relational database with optimized SQL queries and business rule implementation.

LINE chatbot that tells users whether they should wear Birkenstock based on weather forecasts and rain notifications.

📧 Email
ohm.supakornth@gmail.com

💼 LinkedIn
https://linkedin.com/in/supakornpra/

💻 GitHub
https://github.com/SupaOhm