Jack Lin Email & Phone Number

Vancouver, Bc, Ca

Vancouver, British Columbia, Canada

• Design and implement new features for bi-directional communication between different EDA software.• Implement scripting features of an IC design tool.

Vancouver, British Columbia, Canada

• Enable communication between AWS IoT Core and ROS, and introduce TSDB to the event-based robotics solution to improve scalability and usability.• Design and develop notification, control, video recording, real-time streaming functionalities for the robotics solution with AWS Serverless.• Integrate solutions between AWS, AI, ROS, and introduce container and orchestration tools to AI and ROS teams to improve deployment processes.• Utilize Serverless Framework to manage AWS… Show more • Enable communication between AWS IoT Core and ROS, and introduce TSDB to the event-based robotics solution to improve scalability and usability.• Design and develop notification, control, video recording, real-time streaming functionalities for the robotics solution with AWS Serverless.• Integrate solutions between AWS, AI, ROS, and introduce container and orchestration tools to AI and ROS teams to improve deployment processes.• Utilize Serverless Framework to manage AWS Serverless infrastructures and set up CI/CD pipelines for AWS Serverless applications to manage software lifecycle and enhance software qualities. Show less

Taipei City, Taiwan

•Developed a microservice with Azure Blob and AKS to unify ONNX ML/DL model operations across teams in West.•Designed and developed a concurrent system to increase the throughput of a single real-time streaming inference process by 20 times and to improve cost-efficiency by running multiple processes in a node simultaneously.•Designed and developed a distributed system that can manage hundreds of real-time streaming inferences with state recovery for node failures, to improve… Show more •Developed a microservice with Azure Blob and AKS to unify ONNX ML/DL model operations across teams in West.•Designed and developed a concurrent system to increase the throughput of a single real-time streaming inference process by 20 times and to improve cost-efficiency by running multiple processes in a node simultaneously.•Designed and developed a distributed system that can manage hundreds of real-time streaming inferences with state recovery for node failures, to improve availability, scalability, and reliability.•Conducted load tests for inference function to investigate the latency behaviors on CPU and GPU nodes to help VM purchase to maximize cost-effectiveness. Show less

Master'S Degree, Computer Science

Simultaneously pursuing a Master's degree in Computer Science while holding a full-time position at Ansys.

Master'S Degree, Mechatronics Design

Bachelor'S Degree, Mechanical Engineering