VamsiKumar G.

I build intelligent AI systems that turn messy data into business decisions. What I Deliver: - RAG Systems: Built RAG systems processing enterprise document volumes with sub-second response times - Cloud Infrastructure: Architected AWS infrastructure with Terraform for cost-effective, scalable deployments - Data/ETL Pipelines: Built automated pipelines with Python, PySpark, Delta lake, Data lake and Airflow processing high-volume production workloads Recent Work: ✓ Built intelligent document chat with inline citations using AWS Bedrock and vector search ✓ AWS infrastructure automation with Terraform enabling reproducible deployments across environments ✓ Customer analytics platform processing real-time event streams with PySpark for behavioral insights ✓ Migrated legacy supply chain ETL workflows to Apache Airflow improving pipeline reliability ✓ Containerized ML models with Docker for consistent development-to-production workflows Tech Stack: - AI/ML: AWS Bedrock, RAG systems, NLP, intelligent document processing - Cloud: AWS (Lambda, S3, DynamoDB, Glue, Bedrock, Opensearch), Azure AI, Terraform - Data: Python, PySpark, Apache Airflow, ETL pipelines - DevOps: Docker, CI/CD, zero-downtime deployments I focus on practical solutions that work in production, not just demos. Whether you need to automate document processing, build intelligent search, or optimize cloud costs, I deliver scalable systems with clear communication. Available for projects starting at 10-20 hours/week. Let's discuss your needs, I typically respond within 2-4 hours.