I design AWS serverless architectures and build scalable multi-tenant backends with Python and Java. Currently interning as a Software Engineer at Amdocs, shipping cloud-native systems and RAG pipelines.
Hands-on with production AWS systems, serverless APIs, and enterprise RAG pipelines.
Production deployments and research-grade systems solving real problems.
Cloud-native multi-tenant analytics platform on AWS serverless. Unified event routing, timestamped S3 snapshot caching, and Cognito OAuth2/PKCE with full tenant isolation.
Enterprise Retrieval-Augmented Generation pipeline indexing 100+ GitHub repo files. AST-based chunking, hybrid dense + BM25 retrieval over Amazon S3 Vectors, zero-hallucination guarantees.
MRI-based deep learning system using CNN models in Flask, classifying brain tumors into 3 categories and detecting 4 Alzheimer's stages. SHAP/LIME explainability, MongoDB + S3 for storage and audit trails.
I'm actively looking for full-time backend/cloud engineering roles. If you're building scalable systems, serverless architectures, or AI-powered products — let's connect.