Results-driven engineer blending expertise in AWS cloud infrastructure, Generative AI (RAG), DevOps automation, and backend Python development. Committed to IaC, scalable architectures, and clean code.
Architecting contextual AI solutions, RAG pipelines, and LLM integrations.
Implementing continuous delivery pipelines, container orchestration, and IaC.
Designing secure, high-availability serverless and microservice cloud systems.
Building high-throughput REST APIs, async task queues, and data processing engines.
Generative AI web application allowing document uploads (PDFs, docs) and context-aware natural language question answering.
Event-driven streaming data pipeline processing real-time order streams, clickstream data, and IoT metrics with live visualization.
Resilient microservice handling background async task processing at scale (emails, report generation, media processing).
Production-ready RESTful backend supporting JWT authentication, catalog management, order handling, and presigned S3 media uploads.
Architected an AWS-native data processing pipeline using Boto3 SDK. S3 event triggers invoke Lambda functions for real-time data transformation into DynamoDB.
Built a continuous integration pipeline to test and containerize a Python Flask application upon code commit using Docker and orchestrated automated deployments.
CGPA: 7.10 / 10[cite: 1]