Hello, I'm
Nithis
Deedankor
Computer Engineering Student
AI Engineering • System Engineering • Network Security
Hello, I'm
Computer Engineering Student
AI Engineering • System Engineering • Network Security
I am a Computer Engineering student at KOSEN-KMITL with a strong multidisciplinary foundation spanning artificial intelligence, system infrastructure, and network security. My hands-on experience ranges from training computer vision models and deploying AI-powered applications to configuring enterprise-grade network infrastructure and optimizing system performance on edge computing devices. I thrive at the intersection of these domains — building scalable, secure, and production-ready solutions.
Experienced in developing AI-powered applications using Ultralytics YOLO for computer vision tasks including license plate recognition, person detection, and car detection. Skilled in LLM API integration (Gemini), model fine-tuning, and deploying real-time AI systems. Passionate about building scalable AI workflows and production-ready features.
Skilled in deploying and maintaining system infrastructure for AI-powered applications. Proficient in Docker containerization, Linux environments, REST API integration, and system optimization. Experienced in reducing GPU usage, enhancing pipeline effectiveness, and managing multiple video streams on edge computing devices.
Hands-on experience in building and securing robust network infrastructure. Skilled in deploying virtual firewalls (pfSense), configuring routing and switching protocols (Cisco IOS), implementing VLAN segmentation, and establishing secure VPN tunnels (WireGuard). Knowledgeable in network design, access control, and security protocols including IPsec.
Location
Bangkok, Thailand
GPAX
3.80
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Security Lab Project
Deployed OpenClaw with the Gemini API on Kali Linux VMs to assist penetration testing workflows. Configured Metasploitable3 and Kali Linux for vulnerability assessment and security testing on open-source systems.
Chunbok Company Limited
Implemented license plate detection and Thai character recognition using Ultralytics YOLO. Led the development team in building a real-time license plate recognition system and training the model.
Network Security Lab
Configured and applied pfSense as a virtual firewall and router, including interface setup, DHCP configuration, traffic shaping, user authentication via a captive portal, and remote system logging using a Syslog-NG server.
Network Infrastructure Lab
Configured and troubleshot EtherChannel (Port Aggregation) on Cisco switches using both Cisco proprietary PAgP and open standard LACP to increase link redundancy and aggregate bandwidth.
Network Infrastructure Lab
Configured Cisco routers for inter-VLAN routing (802.1Q trunking) and DHCP services on physical devices, verifying network segmentation on the access layer.
Network Security Lab
Deployed a secure WireGuard VPN by configuring key pairs, tunnel interfaces, NAT rules, and peer authentication for encrypted communication.
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May 2025 – Jan 2026
Deployed Docker container applications, reduced GPU usage, enhanced pipeline effectiveness, and managed multiple video streams on edge computing devices. Achieved 95% system accuracy while minimizing resource consumption.
May 2023 – Mar 2024
Two-factor attendance verification using ICMP (Ping) connectivity between routers and registered devices combined with face recognition. Web application built with Python Django for real-time student status display.
May 2024 – Mar 2025
Real-time license plate detection and Thai character recognition using Ultralytics YOLO. Led the development team in building and training the recognition model for production deployment at Chunbok Company.
Feb 2024
Designed and implemented a three-layer network for ABC University across three campuses using Packet Tracer. Focused on VLAN segmentation, redundancy, and security protocols including Access Control, IPsec, and Firewalls.
Click any skill badge to see where I gained it
Select a resume tailored to your interests. Each version highlights a different specialization.
Highlights AI-powered application development, computer vision (YOLO), LLM API integration, model fine-tuning, and real-time AI system deployment.
Download PDFKOSEN-KMITL
May 2021 – March 2026
CISCO
Issued March 5, 2024
I'm always open to discussing new opportunities, collaborations, or just a friendly chat about technology.