Jiang Long
About Jiang Long
Jiang Long is a Design Specialist in 5G RAN Capacity at TELUS in Toronto, with extensive experience in telecommunications and engineering roles at various companies.
Current Position at TELUS
Jiang Long is currently serving as a Design Specialist for 5G RAN Capacity at TELUS. He is based in Toronto, Ontario, Canada, and operates in a hybrid work environment. His role involves advanced design and strategic planning for TELUS' 5G Radio Access Network (RAN) capacity, leveraging extensive expertise in network engineering and optimization.
Previous Positions at TELUS
Before his current role, Jiang Long worked at TELUS as a Design Specialist in IMS DevOps from 2017 to 2022. In this capacity, he contributed to the development and deployment of IP Multimedia Subsystem (IMS) technologies. His tenure in this role spanned five years, during which he focused on enhancing the performance and reliability of TELUS' IMS infrastructure.
Experience at Google
In 2017, Jiang Long held a short-term position at Google as a Senior Engineer and IMS/RCS Test Lead. Based in Mountain View, California, he worked for three months on testing and quality assurance for IP Multimedia Subsystem (IMS) and Rich Communication Services (RCS) technologies. This role involved rigorous evaluation of communication protocols to ensure robust performance and interoperability.
Educational Background
Jiang Long has an extensive educational background in engineering and business. He earned a Master's degree in Electronics and Communication Engineering from Tsinghua University (2002-2005), a Master's degree in Telecommunications Engineering, an Advanced Diploma with honors in Computer Technology-Networking from Centennial College (2010-2011), and a Certificate in Business Administration, Management, and Operations from Humber College (2012-2013). He also holds a Bachelor's degree in Electrical Engineering from Nanjing University of Aeronautics and Astronautics (1991-1995).
Technical Projects
Throughout his career, Jiang Long has led numerous technical projects. He developed a NodeJS/Angular/Streamlit web application using Docker containers hosted on Kubernetes, created Looker Studio Dashboards for anomaly detection in RAN LTE/5G data traffic, optimized the GCP Business Intelligence Layer infrastructure, and built a Splunk 4G/5G Traffic Dashboard. Additionally, he generated comprehensive reports using Sandvine, Looker, and Tableau, and pioneered an AI-driven NLP-embedded Financial Report Proof of Concept for billing services using the Palm2 algorithm in Vertex AI, GCP.