AI-powered multi-agent system for automated proposal generation using context-aware retrieval and persona-based writing.
An end-to-end serverless pipeline for Intelligent Document Processing (IDP) using Amazon Bedrock and Anthropic Claude 3 Sonnet. This project extracts structured data from scanned documents (e.g., PDFs, forms, invoices) using GenAI models, and stores results in a scalable cloud-native architecture.
Automatically generate technical system diagrams and implementation plans using natural language requirements. Combines Groq's AI capabilities with Mermaid.js visualization to create comprehensive system designs.
☁ Proactive cloud security analysis in real-time. 24/7 autopilot for your cloud, hands free and powered by LLMs.
Optimised Kubernetes-based scheduling and resource management strategies for latency-sensitive and batch workloads in heterogeneous cloud environments.
This Repository contains my projects that were a part of Udacity's Hybrid Cloud Engineer Nanodegree Program
The Multilingual AI Customer Support System leverages AWS SageMaker and LORA to build scalable AI-driven solutions that provide multilingual customer support. It integrates machine learning models for real-time responses, ensuring efficient and personalized customer service.
The prototype, CemGenie, is a Generative AI–powered platform designed to autonomously optimize cement plant operations. It integrates real-time process data from raw material handling, grinding, clinkerization, and utilities into a unified AI control layer.
CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 9
End-to-End MLOps pipeline on Google Cloud with Vertex AI, Cloud Build, Cloud Deploy, Docker, and Artifact Registry for automated model training and deployment.
Production-ready event-driven order processing system | AWS Lambda + API Gateway + DynamoDB + EventBridge + SQS/SNS | Terraform IaC | Python 3.11 | Demonstrates serverless microservices and event-driven patterns
CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 5
Add a description, image, and links to the cloud-architecture topic page so that developers can more easily learn about it.
To associate your repository with the cloud-architecture topic, visit your repo's landing page and select "manage topics."