Kae-Yang Hsieh

DevOps Engineer

Medford, Massachusetts, United States6 yrs 6 mos experience
Most Likely To Switch

Key Highlights

  • 5+ years of experience in infrastructure management.
  • Expert in Kubernetes and Terraform for cloud solutions.
  • Strong background in deep learning and blockchain technologies.
Stackforce AI infers this person is a highly skilled DevOps and Infrastructure Engineer with expertise in cloud solutions and deep learning.

Contact

Skills

Core Skills

DevopsKubernetesInfrastructureDeep Learning

Other Skills

AWSAgile MethodologiesAlgorithmsAmazon Web Services (AWS)AnsibleArduinoAutomationBashCC++CICI/CDCloud ComputingComputer VisionConsul

About

5+ years experience in infrastructure management with deep learning and blockchain experiences. Skilled in Kubernetes, Terraform, Prometheus Stack, AWS/GCP/on-prem, Python, C++, and Shell scripts. Specialized in designing high-available architecture, implementing monitoring systems, and building incident management SOP. I love to share experiences with the community. Strong engineering professional with a Bachelor's Degree focused on Detecting and Counting Soybean Aphids Using Convolutional Neural Network from National Taiwan University.

Experience

Lseg (london stock exchange group)

DevOps Engineer

Jun 2023Present · 2 yrs 9 mos · Boston, Massachusetts, United States · Remote

Fortanix

Software Engineer Intern (SRE)

May 2022Aug 2022 · 3 mos

  • * Demonstrated monitoring system for Kubernetes including Datadog, Pixie, and Sensu.
DevOpsKubernetesInfrastructureLinuxAgile MethodologiesBash+11

Coolbitx

Site Reliability Engineer

Sep 2020Jul 2021 · 10 mos · Taipei City, Taiwan

  • Designed and implemented high availability architectures on GCP and AWS
  • Established a cross-platform monitoring system
  • Automated services deployment
  • Developed smoke test and integrated it and unit test into the CI/CD pipeline
DevOpsInfrastructureAgile MethodologiesBashCloud ComputingAlgorithms+8

National taiwan university

Research Assistant

Oct 2019Jun 2020 · 8 mos · Taipei–Keelung Metropolitan area

  • Coordinated the construction of a chicken disturbance robot composed of indoor positioning system, imaging system, a navigation system, and sensing system
  • Developed a scalable indoor positioning system composed of ultra-wideband (UWB) modules, NodeMcu platforms, deploy tools and a monitoring system (Prometheus)
DevOpsInfrastructureBashCloud ComputingAlgorithmsReliability+4

Gorox

Co-Founder

Aug 2019Jul 2020 · 11 mos · Taipei

  • Planning and controlling the development schedules of a VR locomotion device
  • Developing wireless IMU sensing modules and its transmission system using Arduino and C++
InfrastructureBashReliabilityAutomation

Pixnet digital media corporation

Site Reliability Engineer

Sep 2018Sep 2019 · 1 yr · Taipei City, Taiwan

  • Maintained 400+ on-premise servers with private Debian repository management tool and Ansible automation, increased 60 times faster installation and configuration.
  • Mentored an intern to complete an automatic configuration tool for 20+ network devices, decreased 20% deployment time.
  • Designed and implemented a high availability monitoring system using Prometheus, Grafana, and Consul for 50+ servers, decreased 15% troubleshooting time.
  • Executed the transfer of 100+ CDN distributions with clients and providers.
  • Developed a deep learning service with 5 people team, achieved 1200 concurrency level using GCP and on-premise servers in a week.
DevOpsInfrastructureBashCloud ComputingAlgorithmsReliability+7

Ntumaker

Vice President

Nov 2015Feb 2017 · 1 yr 3 mos

  • Co-founded a maker club dedicated to promoting maker spirit and built on-campus maker community by holding maker-related courses and operating maker space
  • Instructed club course included Arduino, drone, Bluetooth applications, etc.
Bash

National taiwan university, lab of machine leaning and machine vision

Deep Learning Computing Platform Constructor

Sep 2015Jun 2018 · 2 yrs 9 mos · Taipei City, Taipei City, Taiwan

  • Designed, purchased and built a scalable GPU workstation cluster with 3 servers, network-attached storage systems, and uninterrupted power systems
  • Developed and maintained deep learning development platform for 20 members with remote desktop and deep learning libraries using Docker and Kubernetes on the lab cluster
InfrastructureBashCloud ComputingAlgorithmsDeep LearningKeras+3

Education

Northeastern University

Master of Science - MS — Information Systems

Aug 2021Jun 2023

National Taiwan University

Bachelor of Engineering - BE — Bio-Industrial Mechatronics Engineering

Sep 2014Jun 2018

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