Maxim Astahov

• Developed and deployed a full-scale SaaS web application enabling customers to collect and process statistical data.
• Designed and implemented RESTful APIs, database schemas, and scalable cloud architectures using ASP.NET 8, Vue 2 / Vuetify 2, and Google Cloud Platform (GCP).
• Managed cloud infrastructure and deployments with Terraform, Cloud Run, Cloud Build, Firestore, BigQuery, Pub/Sub, Cloud Scheduler, and Cloud Storage.
• Translated complex business requirements into structured development tasks to ensure efficient project execution.
• Led a team of two developers, fostering collaboration within a distributed team while maintaining autonomy in decision-making.
• Ensured production reliability by implementing logging, monitoring, and performance optimizations across the stack.

Tech Stack: ASP.NET 8, Vue 2 / Vuetify 2, GCP (Firestore, BigQuery, Pub/Sub, Cloud Run, Cloud Build), Terraform

• Developed and maintained a cloud-based platform for a worldwide payments company, responsible for storing, managing, updating, verifying, and downloading specific software
• Utilized microservices architecture, Event-driven style, and Google Cloud Platform (GCP) to create a scalable and efficient platform
• Collaborated with cross-functional teams to analyze business requirements and design software solutions using best practices and well-known design patterns
• Configured and managed environments on the cloud platform, ensuring smooth deployment and operation of the software
• Collaborated with other developers to ensure seamless integration and compatibility of different components within the system
• Conducted thorough testing and debugging of software, ensuring high quality and reliability of the platform
• Demonstrated the product to stakeholders, effectively communicating its features and benefits
• Utilized C#, TypeScript, and various technologies such as .NET 6/7, MVC, REST, gRPC, Entity Framework, MediatR, xUnit, JWT, OIDC, Docker, Nginx, GCP Secret Storage, GCP Client Storage, GCP logger, GCP Pub/Sub, MySQL, PostgreSQL
• Utilized tools such as Visual Studio, Postman, Git, Docker Desktop, and PowerShell for testing and development
• Operated on GCP cloud build and worked on Windows operating systems

• Developed and maintained a robust e-payments system composed of microservices, a legacy monolith, web and mobile applications, and a desktop application, ensuring seamless communication between different components using various protocols such as REST, SOAP, and HTTP/S
• Utilized best practices and well-known design patterns to develop software that was easily testable, maintainable, and extendable, resulting in improved code quality and efficiency
• Analyzed business requirements and collaborated with other developers to design and implement solutions that met client needs and exceeded expectations
• Conducted thorough testing and debugging of software, promptly identifying and resolving issues to ensure a smooth user experience and minimize downtime
• Developed complex and performant database queries to manipulate data efficiently, optimizing system performance and response times
• Demonstrated the product to stakeholders, effectively communicating its features and benefits, and incorporating their feedback into future iterations
• Proficiently utilized programming language C# and technologies such as .NET Framework MVC, WCF, REST, SOAP, Entity Framework, Windows Forms, xUnit, Azure DevOps, and MSSQL to develop high-quality software solutions
• Employed testing and development tools such as Visual Studio, Postman, Git, PowerShell, and Azure CI/CD, ensuring efficient development processes and adherence to quality standards
• Deployed applications and database servers on Azure Cloud, leveraging its scalability and reliability to deliver robust and secure solutions
• Operated on Windows operating systems, utilizing their capabilities and compatibility with the development environment

• Developed a full-stack web application for an international medical company, enabling medical employees and patients to set up, monitor, manage, and export medical disease history, as well as schedule appointments
• Utilized best practices and well-known design patterns to ensure the software was easily testable, maintainable, and extensible
• Analyzed business requirements and developed concepts and workflows to meet the needs of the project
• Conducted thorough testing and debugging of the software to ensure high quality and reliability
• Managed an on-premise server, including web hosting and internet domain management
• Demonstrated the product to stakeholders, effectively communicating its features and benefits
• Programmed primarily in Python and JavaScript, utilizing frameworks such as Django and jQuery
• Implemented RESTful backend services and utilized technologies such as MVC, Jinja, OAuth2, and Postgres
• Utilized tools such as Visual Studio Code, Postman, Git, Bash, and SSH for testing and development
• Deployed the application on an on-premise server, utilizing Nginx and uWSGI
• Developed and tested the application on the Ubuntu operating system

• Designed and implemented a robust backend service for an energy price prediction system, utilizing machine learning to train models on historical big data to accurately forecast prices of various resources in the energy industry
• Validated, normalized, and fitted data to optimize the performance and accuracy of the machine learning models, conducting experiments to identify the best training configurations
• Developed a RESTful API service using Django and MVC architecture, allowing users to query the model and obtain visual presentations of past and predicted future values in the form of charts
• Implemented a background worker to update and retrain the machine learning models periodically, ensuring the system's predictions remained up-to-date and accurate
• Conducted user training sessions to familiarize stakeholders with the product and its functionalities, effectively demonstrating the system's capabilities and benefits
• Collaborated with cross-functional teams to gather requirements and ensure the seamless integration of the backend service with the frontend application
• Used Python3 and MS SQL Server DBMS
• Utilized testing and development tools such as Visual Studio Code, Postman, Git, and Bash, ensuring the quality and reliability of the codebase
• Managed on-premise servers, Nginx, and uWSGI for hosting the applications and database servers, ensuring optimal performance and scalability
• Demonstrated a commitment to continuous learning and improvement by staying updated with the latest technologies, programming languages, and software development practices in the energy industry

• Developed an Exchange Rates predictions app with notification capabilities in Telegram and email, utilizing Python and Django frameworks
• Implemented scheduled scraping of rates from open sources, ensuring up-to-date and accurate data for predictions
• Utilized machine learning techniques to forecast prices, enhancing the accuracy of predictions and providing valuable insights to users
• Integrated notification functionality, alerting users when the threshold is exceeded, enabling timely decision-making
• Designed and optimized the database structure, ensuring efficient data storage and retrieval
• Employed a tech stack including Django, Postgres, ElasticSearch, Celery, RabbitMQ, Nginx, and Docker, leveraging their capabilities to deliver a robust and scalable application
• Maintained consistent formatting and style throughout the description, ensuring clarity and professionalism
• Proofread all details to eliminate errors and inaccuracies