Alex Dang
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Alex Dang
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Introduction
Alex Dang boasts over a decade of experience with the Python language, with 7 years dedicated to specializing in Django. He is an expert in utilizing advanced machine learning frameworks such as PyTorch and TensorFlow to create intelligent, data-driven applications and is proficient in Azure Cloud services like Azure Machine Learning, Blob Storage, Queue, and App Configuration for optimal application performance and scalability. Alex excels in optimizing production performance and developer experiences, striving for simple, organized, high-quality development. His strong expertise spans web technologies and related tools within the ecosystem. Alex is skilled in distributed computing with Ray and Dask, and adept in real-time data processing and messaging systems using Redis and RabbitMQ. He has extensive experience in containerizing and orchestrating applications with Kubernetes (K8s) for efficient deployment and management. Alex is versatile across multiple programming languages and frameworks, including Java 8, DropWizard, Scala, Ruby/Ruby on Rails, and Flutter. He is well-versed in database technologies such as Cassandra, MongoDB, Elasticsearch, Solarsearch, and MySQL. His front-end expertise includes AngularJS, ReactJS, and TypeScript, enabling him to develop dynamic, responsive user interfaces. Additionally, Alex is experienced with CI/CD tools like TeamCity and Jenkins, as well as cloud platforms like AWS, ensuring streamlined development processes and robust infrastructure. He has full professional proficiency in English, having studied and worked abroad for multiple years.

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