Fully automated MLOps pipeline with continuous training, drift detection, model versioning, and self-healing deployments using canary releases and real-time monitoring.
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Updated
Jun 11, 2026 - Python
Fully automated MLOps pipeline with continuous training, drift detection, model versioning, and self-healing deployments using canary releases and real-time monitoring.
A strategic AI engine that automates your GTM content production line—from message house to market-ready assets—and gets smarter with every use.
🚀 AI-powered CI/CD pipeline analyzer for Azure DevOps & GitHub. Automatically enforces security policies, detects vulnerabilities, and posts compliance reports on PRs. Open source DevSecOps automation.
Production-ready ML pipeline solving reproducibility challenges with DVC, docker, MLflow & DagHub
Enterprise-grade CI/CD pipeline for microservices, showcasing automated testing, contract validation, security gates, and release engineering using GitHub Actions, Docker, and modern QA tooling.
A production-grade MLOps pipeline for image classification — featuring ZenML orchestration, MLflow tracking, DeepChecks validation, and automated model deployment.
Interactive Tableau Public dashboard pipeline transforming professional résumé information into a data-driven narrative. Built with PostgreSQL via a Python ETL pipeline for final excel outputs for Tableau.
Bank Marketing data is used to train a model, which is later operationalized using MLOps in Azure
Advanced Jenkins CI/CD with multibranch pipeline and manual deployment. Automates Node.js React app deployment with environment-specific configurations (main/dev), Docker Hub integration, and downstream job triggering. Features intelligent container cleanup, RBAC, and conditional branch logic. Two separate ports and logos per environment.
An industrial-grade, automated scRNA-seq analysis pipeline optimized for massive COVID-19 clinical cohorts. Features a pioneering "200MB Header Sampling" strategy for rapid auditing and OOP-based architecture for seamless cross-platform scalability.
End to end GPU Telemetry Lakehouse with Prefect, dbt, DuckDB, and ML anomaly detection
A prototype pipeline for generating structured job insights and clustering career trajectories, designed to support agentic AI-based **Proactive Job Goal Creation**.
Cloud-native, event-driven FASTQ QC pipeline on GCP with serverless orchestration and containerized batch compute.
A lightweight, embeddable, and pluggable feature flag engine for Go. Reusable anywhere.
ci/cd pipeline
Autonomous multi-agent negotiation mesh for data pipeline governance. Computational peers negotiate schema changes, enforce CDP/GDPR compliance via a shared Constraint Ledger, and produce auditable decision ledgers — without human intervention.
EPL 2021-2022 data warehouse with automated pipeline execution. Team project featuring star schema, SCD Type 6, and scheduled updates via batch automation.
Reusable Jenkins Shared Library for CI/CD automation with modular Groovy scripts for Git checkout, Docker build & push, Kubernetes deployment, and scalable pipeline orchestration.
AI Pipeline Automation - AI Tools & Platforms project in AI / ML / GenAI for CSEProjects360 final year project catalog.
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