gitactions-workflow

Implementation RealWorld project. Fastapi, pydantic, sqlalchemy, pytest, asyncio, aioredis, docker-compose.

📜Write a `Git Action` scheduler that allows me to see the traffic for all my repositories for the past day or two weeks.

Git action demo with wine quality prediction

Automatically commits on github any random day in a week for Lazy People

Modelo de site para protifólio com agentes autônomos para gerar o site e realizar o deploy.

Web store is a personal project in wich I apply all I have learned about framework Django

This is the application that is built the DevSecOps concepts like : CICD, Git actions, SonarQube- Static analysis, OWASP ZAP - Dynamic code security analysis, AWS , DynamoDB , Google auth for TOTP, SSL, Https connection, CSRF, Flask .

The AI-Powered Cloud Threat Log Analyzer is a security analytics platform designed to detect, analyze, and contextualize cyber threats across Linux, Windows, and AWS CloudTrail logs.

A lightweight automation tool that watches a project directory for file changes and automatically triggers a test → build → Docker push workflow. The simulator exposes live build status via a FastAPI REST endpoint and is fully containerized with Docker Compose. Includes 18 unit tests with comprehensive coverage.

Real-time NLP radar that tracks news topic momentum, mood shift and anomalies over time — fine-tuned DistilBERT served as int8 ONNX, with drift monitoring, CI/CD and a live dashboard.

Яндекс Практикум. Проект 16-го спринта: Continuous Integration и Continuous Deployment проекта api_yamdb. Автоматический запуск тестов, обновление образов на Docker Hub, деплой на боевой сервер при пуше в главную ветку main.

Задание на позицию Python Developer в компанию Тетрика

Cloud-native Flask app integrating 10 AWS services: DynamoDB (NoSQL), S3 (storage), Lambda (serverless), SQS (queues), SNS (notifications), Elastic Beanstalk (hosting), ECR (registry), CloudWatch (monitoring), IAM (security), GitHub Actions (CI/CD). Features expense tracking, budget management, receipt storage, PDF reports.

A Python-based system monitoring tool that tracks CPU, memory, and disk usage. It logs real-time data and automatically updates the repository using GitHub Actions and Cron Jobs, ensuring continuous tracking every 5 minutes.

Project contains a flask app that queries google big query storage (holds two arima models and etl of NYT Covid19 dataset) and returns latest cases/deaths stats for US and territories, along with prediction for cases/deaths 30 days out.

🔐 Production-grade credit card fraud detection system — XGBoost + SMOTE on 284k transactions (99.9% acc · 93.2% F1 · 98.7% AUC). FastAPI serving, Kubernetes deployment with HPA autoscaling, full MLOps stack: DVC · MLflow · Prefect · GitHub Actions CI/CD · 90%+ test coverage.

🚀 Build and deploy machine learning models with this MLOps project template, designed for easy integration and effective monitoring in production environments.