Ming (Akira) Huang (Kaneshiro)

Ming (Akira) Huang (Kaneshiro)

Dev Ops Engineer @ Built Technologies

About Ming (Akira) Huang (Kaneshiro)

Ming (Akira) Huang (Kaneshiro) is a DevOps Engineer with a strong background in software engineering and cloud technologies. He holds multiple degrees in Mathematics, Statistics, and Computer Science, and has experience working with various organizations, including KBR, NRC Health, and Built Technologies.

Current Role at Built Technologies

Ming (Akira) Huang serves as a DevOps Engineer at Built Technologies, a position he has held since 2022. In this role, he applies his expertise in DevOps practices to enhance the company's cloud infrastructure and deployment processes. His responsibilities include managing container orchestration and implementing automation solutions to improve operational efficiency.

Previous Experience in DevOps

Prior to his current role, Huang worked at NRC Health as a DevOps Engineer from 2021 to 2022. He also held the position of Associate DevOps Engineer at ChiroTouch from 2019 to 2020. His experience in these roles involved developing and maintaining cloud-based solutions, contributing to the overall improvement of software deployment and system reliability.

Educational Background

Huang has a strong educational foundation in mathematics, statistics, and computer science. He earned a Bachelor of Science in Mathematics and Statistics from the University of Nevada, Reno, from 2010 to 2014. He furthered his education by obtaining a Master's degree in Statistics from Rutgers University in 2015 and a Master's degree in Computer Science from the University of Pennsylvania from 2021 to 2023.

Technical Skills and Certifications

Huang possesses advanced certifications in Kubernetes, including Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified Kubernetes Security Specialist (CKS). His technical skills include proficiency in a diverse range of programming languages, notably Scala with Akka, and he actively utilizes machine learning techniques such as regression, classification, clustering, and neural networks in his professional projects.

Contributions to Open Source and Research Interests

Huang has contributed to various open-source projects on GitHub, demonstrating his expertise in DevOps and cloud technologies. He actively explores interests in deep learning, natural language processing, and computer vision, indicating his commitment to staying at the forefront of technological advancements in his field.

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