Kae-Yang Hsieh

DevOps Engineer

Medford, Massachusetts, United States6 yrs 8 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

gsunny4178@gmail.com LinkedIn

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

6 yrs 8 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs 11 mos

Current Experience

Lseg (london stock exchange group)

DevOps Engineer

Jun 2023 – Present · 2 yrs 11 mos · Boston, Massachusetts, United States · Remote

Fortanix

Software Engineer Intern (SRE)

May 2022 – Aug 2022 · 3 mos

* Demonstrated monitoring system for Kubernetes including Datadog, Pixie, and Sensu.

DevOpsKubernetesInfrastructureLinuxAgile MethodologiesBash+11

Coolbitx

Site Reliability Engineer

Sep 2020 – Jul 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 2019 – Jun 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 2019 – Jul 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 2018 – Sep 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 2015 – Feb 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 2015 – Jun 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