Mok Yang
@mokyang
I am a software engineer specializing in cloud, DevOps, and machine learning solutions.
What I'm looking for
I am a motivated software engineer with a strong foundation in cloud technologies, full-stack development, and data-driven solutions. I graduated from the Kyoto College of Graduate Studies for Informatics with a specialization in Cloud Computing and Data Science.
At NTT Data I design and deploy cloud-based enterprise solutions using AWS and Azure, implementing microservices that improved system scalability by 35% and building real-time dashboards with Python, Flask, and React. I also contributed to DevOps automation using Docker, Kubernetes, and Jenkins.
I built an AI-powered Japanese–English chatbot deployed on AWS Lambda that reduced support response time by 40% and contributed to recommendation-engine work during an internship at Rakuten. I hold AWS Solutions Architect – Associate and Microsoft Azure Fundamentals certifications and seek roles that blend cloud architecture, ML integration, and scalable DevOps practices.
Experience
Work history, roles, and key accomplishments
Designed and deployed cloud-based solutions for enterprise clients using AWS and Azure, implementing microservices architecture that improved system scalability by 35%. Developed internal data visualization dashboards with Python, Flask, and React for real-time KPI monitoring and contributed to DevOps automation with Docker, Kubernetes, and Jenkins.
Software Engineering Intern
Rakuten, Inc.
Jul 2022 - Sep 2022 (2 months)
Built recommendation engine features using Python, scikit-learn, and TensorFlow and improved product search query optimization, reducing search latency by 18%. Supported cross-functional teams with data preprocessing and API development.
Education
Degrees, certifications, and relevant coursework
Kyoto College of Graduate Studies for Informatics
Master of Science, Applied Information Technology
Activities and societies: Thesis: Optimizing Machine Learning Pipelines on Distributed Cloud Systems; Specialization in Cloud Computing & Data Science.
Master of Science in Applied Information Technology with specialization in Cloud Computing and Data Science; thesis on optimizing machine learning pipelines on distributed cloud systems, completed March 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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