Yang Dan
Telecom Engineer with a passion for AI innovation
Hi there! I'm Yang Dan.
I am a:
- Telecom Hardware R&D Engineer
- AI & Automation Enthusiast
- Data Analysis Practitioner
Nice to meet you!
Currently, I work as a Network Planner & R&D Telecom HW Designer at SAIE Microelettronica/SMOptics in Italy, where I've developed AI-powered office tools and analyzed large-scale equipment data.
I hold a Master's degree in Telecommunication Engineering from Politecnico di Milano, where I was selected for a double degree program at NTNU in Norway.
I'm eager to transition into AI Product Management, combining my technical expertise with product thinking to create impactful AI solutions.
# About Me
I believe the best AI products come from deep technical understanding combined with genuine user empathy.
As a telecom professional with a fervent interest in advancing AI technologies, I'm committed to crafting innovative solutions. I strive to see the positive impacts of my work on transformations within both the telecom and AI sectors.
My journey from telecommunications to AI product management represents a shift from being a "technical implementer" to becoming a "value creator". In telecom, I learned to maintain a holistic view in complex systems; now I'm learning to translate user insights into innovative solutions.
I'm particularly passionate about applying AI to enterprise scenarios - intelligent automation, document processing, and workflow optimization. I believe AI should amplify human capabilities, enabling everyone to focus on more valuable work.
Technical Background
MSc in Telecom Engineering, hardware design, RF systems & network planning
AI & Automation
Built AI tools with n8n, API integration, and workflow automation
International Experience
Studied in Italy & Norway, working across European markets
Data-Driven
Python, SQL, Power BI for large-scale data analysis (80k+ entries)
Technical Skills
# Experience & Education
Network Planner & R&D Telecom HW Designer
SAIE Microelettronica / SMOptics
Developed an AI Office Tool using n8n and AI API to automate extraction, summarization, and comparison of radio link budget documents across European countries. Analyzed complex XML files of ODU/IDU equipment using Python, producing comprehensive feature statistics covering 80,000+ data entries. Conducted hardware prototype verification and authored design specifications.
Network Engineer Apprentice
Iway
Independently built and configured a FlexiWAN Testbed platform. Created and managed network sites using Flexiedge UI, ensuring seamless communication and network functionality. Leveraged FlexiManage to oversee site operations.
MSc. Telecommunication Engineering
Politecnico di Milano
Selected as one of 3 students for double degree program at Norwegian University of Science and Technology (2020). Final Project: Designed an experimental framework for SD-WAN data collection on DigitalOcean Cloud, leveraging 60,000+ data points and applying machine learning to predict network performance.
BSc. Measurements, Control Technology and Instrument
Yulin University
Received National Motivational Scholarship and Course Scholarships. Final Project: Circuit Design of Intelligent Fan Based on Single Chip Microcomputer. Earned Second-Level Certificate of National Computer.
# Projects
AI Office Automation Tool
Built using n8n and AI API to automate extraction, summarization, visualization, language translation, and comparison of complex radio link budget performance documents for commercial teams and clients across European countries including the UK.
ODU/IDU Equipment Data Analysis
Analyzed complex XML files of various ODU/IDU equipment using Python, producing a comprehensive feature statistics report covering multiple device types with over 80,000 data entries. Created structured technical references for R&D and Sales teams.
Wireless Network Coverage Simulation
Generated a network with 28 GHz within 100 km x 100 km coverage using Radio Mobile software. Identified optimal tower placement strategy - only four towers in high-altitude locations can cover a significant portion of the area.
Outdoor UWB Localization System
Developed a graphic simulation of 8 UWB access points and 22 targets in different locations. Plotted likelihood of 8 UE locations through TDOA cases analysis for outdoor localization applications.
# Contact
Interested in AI product roles or want to discuss how telecom expertise can enhance AI products? I'd love to connect!
Long-term Italian residency holder
© 2026 Yang Dan. Built with Next.js + Tailwind CSS.
AI Assistant
Ask me anything about Yang Dan
Try asking: