Cloud β’ DevOps β’ MLOps
βοΈ Cloud β’ βοΈ DevOps β’ ποΈ Databases β’ π§ Backend
Platform that predicts, analyzes, and resolves CI/CD pipeline failures before they impact production.
Transforms traditional "fail-and-fix" workflows into a proactive DevOps system using intelligent automation.
Includes repository analysis, AI-generated code fixes from build logs(future build), real-time pipeline monitoring dashboard, GitHub integration, and secure backend architecture using JWT authentication.
π https://github.com/tirthpatel90/AutoHeal-CI
Modular pipeline for data ingestion, preprocessing, and model training across multiple formats (CSV, Excel, JSON).
Config-driven execution with scalable architecture aligned with MLOps & DevOps workflows.
Designed for future containerization using Docker.
π https://github.com/tirthpatel90/Data-agnostic-MLOps-pipeline
Client-side DevOps toolkit with utilities for configuration validation, secrets encoding, and infrastructure helpers.
Deployed on AWS S3 showcasing lightweight serverless delivery.
π https://github.com/tirthpatel90/DevOps-Utility-
Full-stack platform providing structured learning roadmaps and resources.
Backend APIs built using Flask with SQLite database integration.
π https://github.com/tirthpatel90/NAVIQ
