Danil Dyachenko Email & Phone Number

Developed microservices for software-defined networking.Described Custom Resources Kubernetes API, programmed resource interaction logic using Kubernetes Operators Framework.Configured the operation and interaction of microservices with Kubernetes.Developed handlers for interacting with the backend using FastAPI.Creating a scheme, queries and mutations with GraphQL.Contributed to decision making on project architecture and backend/frontend interactions.

Conceived and implemented the software architecture, ensuring modularity and scalability using Figma.Established an Agile development process, leading to more efficient iterations and feature releases in Notion.Developed a comprehensive Discord bot with discord.py focused on user onboarding, experience tracking, interactive training modules and networking.Implemented a robust controller architecture to manage various modules and their interactions with RabbitMQ.Designed and implemented a database schema using SQLAlchemy and PostgreSQL.Created an API using FastAPI and Pydantic models to manage bot settings, view statistics and interact with dashboard.Implemented Redis for caching and real-time analytics, enhancing performance and user experience.Utilized Docker for containerization, ensuring seamless deployment and scalability.

Architected and implemented the core functionality of a mirror bot capable of synchronizing messages between Discord and Telegram platforms.Established a robust project architecture that includes separate modules as microservices for Discord and Telegram, as well as a centralized controller for managing interactions between these modules.Designed and implemented a RESTful API using FastAPI to manage bot settings, view statistics, and interact with the dashboard.Developed a user-friendly dashboard using Codux, React and TypeScript to provide real-time insights and control over the bot's functionalities.Implemented a PostgreSQL database schema using SQLAlchemy to store user data, settings, and synchronization logs.

Developed automated people data parser with SeleniumTwilio for automated callsDeveloped Program UI with TkInter and Multiprocessing to run several modules simultaneously

Spearheaded the creation of a specialized Telegram channel focused on cryptocurrency insights, market analysis, and trading tips.Successfully monetized the channel by implementing a subscription-based model, leading to a consistent revenue stream.Built a Telegram bot using Telethon and Web3.py to automate the payment and subscription process in several crypto networks, significantly reducing manual administrative work.Grew the user base to 12,000, making the channel a trusted source of information about cryptocurrencies.Maintained high subscriber retention rates through quality content and real-time updates, facilitated by automated analytics and reporting.Brought the project to an annual income of around $50,000

Played a pivotal role in the development of a neural network designed to recognize lung lesions in COVID-19 patients, contributing to early diagnosis and treatment.Designing a custom image preprocessor using OpenCV and SciPy, which improved the quality of input data for the neural network by 25%.Engineered an improved AI architecture with PyTorch that led to a 15% increase in model efficiency.