mistervibe

Developed full-featured web applications using Python with FastAPI and Flask for the backend, and Vue.js for the frontend. Built and integrated RESTful APIs, implemented authentication, data processing, and interaction with PostgreSQL and MongoDB databases. Configured the server-side with Docker and CI/CD, ensuring stable operation in a microservices architecture. Created dynamic and responsive UI components, optimizing frontend performance and enhancing user experience. Additionally, worked with AI agents and machine learning models, integrating LLM frameworks such as LangChain and LangGraph to enhance automation processes. Developed and optimized ML-based recommendation systems, leveraging TensorFlow and PyTorch for model training and inference. Implemented inference pipelines using vLLM and SGLang, ensuring efficient deployment and monitoring of AI-driven features. Stack: Backend & Infrastructure:Python, FastAPI, Flask, PostgreSQL, MongoDB, Redis, RabbitMQ, Docker, Kubernetes, CI/CD (GitLab), Nginx, WebSockets, RESTful API, OAuth, JWT, Prometheus, Grafana. AI & ML: TensorFlow, PyTorch, LangChain, LangGraph, vLLM, SGLang, Hugging Face, OpenAI API, Triton Inference Server.

Development of a method of performance testing, Requirements analysis, Development of a performance test model, Creating and debugging test scripts (java) on HP LoadRunner, Writing mock-service.

Creating jobs in jenkins, running autotests daily, Working with OracleSQL Database.

Quality control assurance, Manual testing, Testing automation, Perfomance testing (Jmeter), Drawing up test plans and test cases.

Working with docker, Development of backend services for management of environmental and field data, ETL writing and support.