Run your B2B content marketing with Autonomous AI Agent

Stack: AWS (Lambda, S3, EBS, ECR, EC2), NodeJS(Babel, Typescript), Python, Mongo Atlas, PostgreSQL, Neo4J, Redis, NATS, Doppler, Gitlab CI/CD, WebSocket, Stripe, OpenAI SDK, NGINX, CaddyPrinciples used: SOA, SOLID, Clean Architecture, Microservices.My contribution:+ Scalable application+ Full monitoring, tracing application profiling including database, caching, background tasks, task queues (OpenTelemtry, Datadog)+ Comfortable, adaptable custom own architecture for small team development+ Clear-cut communication between all the departments+ Correctly chosen strategy for testing application+ CI/CD via Gitlab+ Project development documentation, description of all modules, application and refactoring instructions, codestyling, naming+ Developed Mongo data migration tool with its own CLI.+ Centralized collection of application logs+ Classification of all types of errors in the application+ Configuring notifications about database and application incidents in Discord, Slack, Telegram+ Vincent Driessen's gitflow with rebase squash merges in the master, stage, and dev+ Master, stage, dev infrastructure+ Clear interaction with the testing department+ Multilevel mentoring of 4 developers in back-end department+ Growth plans for developers+ Improved skills of employees in code design+ Parsing over 100,000 skill names and combining them into relationship links.+ Generating descriptions of skills using OpenAI SDK and parsing and deploying them in nodes.Back dep. learned (My contribution):+ Working with the Mongo database in production (aggregations)+ Partial implementation of SOLID principles+ Partial usage of SOA+ Using OOP patterns+ Auditing and code optimization+ Debugging code skills + Skills in query optimization, oplog reading and analysis+ Code quality analysis+ CI/CD, Docker customization+ Test coverage+ Documentation of code, modules+ Working with AWS services+ Reading API docs and building ETL tools

+ Optimized complex ORM queries in favor of Raw SQL+ Wrote SQL Views+ Re-indexing of all entities+ Unit/integration testing of core modules+ Updated all dependencies in all projects and python version+ Auditing of all project modules, collection of data on project status+ Refactored projects+ Modules breakdown by responsibility roles, breakdown into universal services+ Partially codebase started using SOLID principles+ Connected tracing and monitoring tools+ Added task queues+ Rearranged project documentation

+ Long queries optimized after analysis+ Query caching and optimization+ Implemented project documentation + Using Postman for testing requests+ Working with projects for Samsung, Royal Canin, Philips, Mars+ Connecting monitoring tools to projects+ Code refactoring+ Splitting code into roles of responsibility, services, modules