Lin Huang

Lin Huang has extensive experience in the field of software engineering, with a focus on blockchain technology. In 1994, they started working as a Senior Software Engineer at Nortel, where they specialized in DMS PRI and ServiceBuilder SCP. Lin then joined Siemens/Unisphere Networks in 1998 as an Engineer V, where they played a key role in the development of the hiQ8000 softswitch, specifically in building the ISUP software and improving system performance.

In 2006, Lin Huang became a Senior Software Engineer and Architect at Alcatel-Lucent, where they were responsible for designing and building the Alcatel-Lucent IPTV Notification and Control (NaCS) product. This product allowed TV viewers to interact with calls and manage call logs and contact lists.

From 2008 to 2020, Lin Huang worked at Prodea Systems as a Principal Software Engineer. In this role, they were a key engineer, team leader, and go-to person for technical issues. Lin'sresponsibilities included working in all phases of the software life cycle, providing support for business initiatives, and ensuring the successful implementation and testing of software systems.

In 2020, Lin Huang joined Bullish as a Blockchain Software Engineer, where they continued to develop their expertise in blockchain technology. Lin contributed to the team until 2022 when they transitioned to become a Senior Blockchain Software Engineer at the EOS Network Foundation.

Throughout their career, Lin Huang has consistently demonstrated their technical expertise and leadership skills, making him a valuable asset to any organization in the software engineering field.

Lin Huang obtained their PhD in Computer Science from Queen's University. In addition to their formal education, they have also completed various certifications related to deep learning and machine learning. These include certifications in Convolutional Neural Networks, Deep Learning Specialization, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Machine Learning, and Neural Networks and Deep Learning. The institutions offering these certifications include Coursera, by deeplearning.ai, and Coursera, by Stanford University. The specific dates of when these certifications were obtained are not provided.