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Carolyn Weitz

Carolyn began her cloud career at a fast-growing SaaS company, where she led the migration from on-prem infrastructure to a fully containerized, cloud-native architecture using Kubernetes.
Since then, she has worked with a range of companies from early-stage startups to global enterprises helping them implement best practices in cloud operations, infrastructure automation, and container orchestration. Her technical expertise spans across AWS, Azure, and GCP, with a focus on building scalable IaaS environments and streamlining CI/CD pipelines.
Carolyn is also a frequent contributor to cloud-native open-source communities and enjoys mentoring aspiring engineers in the Kubernetes ecosystem.

Leveraging CPU Intensive Computing for Powerful Infrastructure Solutions

Digital workloads are becoming increasingly demanding. From real-time analytics and machine learning deployments to high-performance multiplayer gaming, modern systems require fast, reliable and scalable compute power. That’s why CPU intensive computing is more important than ever. A recent IDC report predicts that global cloud computing market will surpass $1 trillion by 2028. Businesses that rely […]

Deep Learning based Online Exam Proctoring – A Novel Paradigm

Since times immemorial, examinations have formed the bedrock of the interlinked spheres of education and employment. Ancient Egypt, Mesopotamia, India, and China had independently devised various learning systems as well as relevant processes for assessing what was being learned. Formal theoretical education in these ancient societies was limited to the elite and the affluent, whereas […]

Financial Fraud Detection with Deep Learning and AI

Financial fraud detection is no longer just a security concern; it’s a business imperative. Banks can use AI systems to protect their clients and prevent fraudulent ecommerce purchases by analyzing customer behavior, purchase history and device information (such as location), flagging any transactions that deviate from historical patterns. In 2023 alone, global losses from payment […]