A production-ready MLOps pipeline implementing industry best practices for machine learning workflows, from data versioning to model deployment with automated CI/CD.
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Updated
Dec 30, 2025 - Python
A production-ready MLOps pipeline implementing industry best practices for machine learning workflows, from data versioning to model deployment with automated CI/CD.
Pipeline for migrating data from SFTP server to Microsoft Fabric with SQLite-based file tracking to prevent reprocessing
Atlassian Forge in Bitbucket Cloud is a powerful development platform that enables the seamless creation, hosting, and deployment of custom apps.
Este repositório contém o desenvolvimento do projeto de bootcamp para a Nova Drive Motors, focado na construção de um Data Warehouse (DW) completo para a área de Vendas.
Integrating Continuous Integration and Continuous Deployment (CI/CD) practices into software development workflows is crucial for achieving automation, speed, and reliability in the delivery pipeline
I developed hrms api with nodejs & typescript and it have so many features like as attandance and timesheet etc
Automated MLOps pipeline using GitHub Actions: trains a RandomForestClassifier with scikit-learn, evaluates using CML, and deploys to Hugging Face Spaces and all triggered by a simple Git push. Achieved 97% accuracy and 94% F1 score, with full CI/CD integration for reproducible ML workflows.
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