Projects
This section have end-to-end projects & architecture solutions
multi-agent-data-pipeline
11 specialised AI agents that autonomously clean, anonymise, validate, transform, detect anomalies and summarise any CSV, PDF or database in real time. Router Engine cuts cost by 70% and latency by 63%.
ai-data-agent-benchmark-lab
The open benchmark lab for testing AI agents on real-world data engineering and analytics workflows.
grasp-ai
AI learning agent that transforms any document, image, YouTube video, web URL or meeting recording into a short, clear summary. Powered by a multi-model router — Claude, Gemini Flash and Whisper.
compliance-agent-platform
Multi-agent AI system for automated fraud detection and regulatory compliance built using Azure AI Foundry, Databricks, and Microsoft Agent Framework.
ai-agent-hackathon
End-to-end AI hackathon platform enabling users to train ML models, deploy AI agents, and get evaluated via an automated leaderboard and intelligent AI judge system.
gcp-python-gke-pipeline
End-to-end cloud deployment pipeline demonstrating how to containerize a Python application with Docker and deploy it on Kubernetes using Google Kubernetes Engine (GKE).
sentinel-data-platform
This repo is for project on gcp+dbt+airflow and shows how we stop deduplicating models
Agentic
End-to-end data engineering project using modern data platform architecture.
AI
End-to-end data engineering project using modern data platform architecture.