Sergey Pozdnyakov is a webmaster with experience in developing applications using Node.js, Python, Flutter, and TypeScript. He works with frameworks such as Express, React, Next, Vue, Django, and FastAPI, and implements APIs based on REST, GraphQL, and event-driven systems, including Apache Kafka. He has experience in DevOps, focusing on CI/CD setup, infrastructure as code using Terraform and Kubernetes, as well as developing microservices with orchestration.

Sergey is involved in machine learning using Scikit-learn, Keras, and TensorFlow, and has expertise in IoT, programming microcontrollers and circuits. He creates dashboards in Python and JavaScript using Plotly, Matplotlib, and ChartJS, and works with various databases, including SQLite, MySQL, PostgreSQL, MongoDB, Redis, and streaming systems. He has experience in building ETL pipelines with Apache Airflow and message brokers like Pulsar, Kafka, and Flink. Additionally, he participates in UI/UX interface design, develops emergent features, and applies 4D architecture.

Reviews

Sergey Pozdnyakov is a professional performer who delivers work with high quality, efficiency, and often ahead of deadlines. He demonstrates a high level of competence, initiative, creativity, and a willingness to assist with technical issues, including domain setup and admin panel management. He approaches tasks with a clear understanding, offers improvements, maintains communication, and is flexible regarding payment terms. His service prices are below market rates, and there have been no negative reviews reported.

Portfolio projects

Skills and Technologies: Python, Django, React, Node.js, Express, PostgreSQL, MongoDB, GraphQL, REST, HTML, CSS, Bootstrap, Plotly, Dash, responsive design, machine learning, computer vision.

Projects and Achievements: The candidate has developed numerous web applications, including interfaces for object recognition in streaming video using computer vision technologies, as well as responsive interfaces for data visualization and service cost calculation. The projects implemented features such as user registration, form processing, and database integration. The candidate also participated in the development of PWA applications using React and GraphQL, ensuring real-time data updates.

Achievements and Recognition: The candidate successfully completed projects such as creating an interface for a company website and an application for advertisements, showcasing his capabilities in full-cycle software development. Throughout the project work, significant improvements in user experience and application functionality were achieved, as evidenced by positive user feedback.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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