I am a technical problem-solver specializing in the intersection of Hardware, Networking, and AI. With a solid foundation from my IT Diploma, I am currently mastering the deployment of intelligent autonomous systems in industrial environments.

• Industrial Automation: Dobot MG400, RoboDK, Motion Logic.
• Edge AI: YOLOv8 Real-time Detection, OpenCV, Raspberry Pi 5 + Hailo-8L.
• Infrastructure: Cisco Networking (Routing/Switching), VLANs, TCP/IP.
• Industrial IoT: MQTT Architecture, JSON Data Streams, Node-RED Dashboards.
• Development: Python (Automation & Simulation), C++, Linux Environment.

Building scalable data pipelines for real-time tracking.

• Implemented multi-asset GPS simulations and dynamic monitoring dashboards.

Hardware-level engineering and Edge AI implementation.

• Capstone: Developed a distributed AI security network bridging Computer Vision with MQTT-actuated hardware.

• Education: Currently pursuing a B.Eng in ICT and Robotics at HAMK University.
• Background: Completed Diploma in IT, providing a deep understanding of computer systems and network security.
• Daily Goal: Bridging the gap between software logic and physical machine movement.

• LinkedIn: (https://www.linkedin.com/in/dipen-gaihre-a90297214)
• Email: amk1001856@student.hamk.fi

“Student by status, Engineer by mindset—automating the future today.”