Deva Harsha Mummareddy

At GE Aerospace, I lead architecture and deployment for enterprise AI and data automation systems supporting compliance, migration analytics, and executive telemetry across global business units.

I architected the RADAR Agentic AI Platform, using Python, NLP, OCR, vector databases, and AWS to synthesize intelligence from 4PB of distributed unstructured data across 1,200+ file formats. I also deployed LLM-powered semantic search and metadata extraction that shortened audit data discovery from 15 months to under 3 months while mitigating up to $100M in regulatory compliance risk.

I've built zero-touch automation with n8n, Python, and RPA, cutting operational overhead by 60–80%, alongside ETL-driven migration intelligence and DataOps delivery architectures that accelerated AI feature production by 50% with 99.9% uptime.

Beyond enterprise work, I build open-source agentic AI, real-time lakehouse, and MLOps systems using LangGraph, FastAPI, Kafka, Snowflake, dbt, Airflow, Terraform, MLflow, and GitHub Actions. My projects focus on dependable automation, low-latency analytics, and scalable cloud deployment.