Allah Bakash C S

Forward Deployed Engineer | Cloud Data & AI

I build and deploy production-grade data and AI systems inside enterprise environments. 9+ years embedding with customer teams — owning the full lifecycle from discovery to production.

View Portfolio Project GitHub Profile LinkedIn

🔍 Featured Project

Enterprise Data Pipeline AI Agent

AI-powered multi-agent system that connects to any PostgreSQL database and provides schema discovery, natural language querying, Airflow DAG generation, and data quality monitoring — exactly the tool an FDE would build on Day 1 at a customer site.

📊 Schema Discovery

Auto-introspects tables, columns, relationships + AI-powered summary for stakeholder meetings

💬 Natural Language SQL

Ask questions in plain English → generates SQL → executes safely → returns answers with insights

🔧 Pipeline Generator

Describe a pipeline in English → generates production Airflow DAG with error handling and retries

✅ Data Quality Monitor

Continuous checks for nulls, duplicates, drift with severity-rated reports

Python LangGraph FastAPI Anthropic Claude PostgreSQL Streamlit Docker Prometheus Grafana

View on GitHub

💼 Experience

Owned end-to-end data platform deployment: Oracle Cloud → GCP migration for financial products
Built secure data pipeline with GPG encryption and HashiCorp Vault for banking compliance
Production stack: GCS → Dataproc/PySpark → BigQuery, processing TBs of financial data
Established observability: monitoring, logging, and alerting for SLA compliance
CI/CD with GitHub Actions, documentation portal with Docusaurus

Built real-time streaming analytics via GCP PubSub + Dataflow to track customer churn during Black Friday
Owned multiple production pipelines as technical lead and individual contributor
Built EL, ETL, ELT pipelines using Cloud Composer (Airflow) serving multiple business units
Executed data migrations: Oracle/MSSQL/Hadoop → GCP