A strategic AI engine that automates your GTM content production line—from message house to market-ready assets—and gets smarter with every use.

Fully automated MLOps pipeline with continuous training, drift detection, model versioning, and self-healing deployments using canary releases and real-time monitoring.

🚀 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

ci/cd pipeline

A lightweight, embeddable, and pluggable feature flag engine for Go. Reusable anywhere.

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.

End to end GPU Telemetry Lakehouse with Prefect, dbt, DuckDB, and ML anomaly detection

Cloud-native, event-driven FASTQ QC pipeline on GCP with serverless orchestration and containerized batch compute.

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.

A prototype pipeline for generating structured job insights and clustering career trajectories, designed to support agentic AI-based **Proactive Job Goal Creation**.

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.