Rajib Islam - AI Cloud Solution Architect
Hi, I'm

Rajib Islam

AI Cloud Solution Architect

Architecting intelligent cloud solutions that scale. Specializing in AWS Bedrock, ML deployment, and enterprise AI infrastructure.

Tech Stack

Python
AWS
TensorFlow
Bedrock
Docker
Kubernetes
PostgreSQL
PyTorch
Git
Terraform

About Me

Cloud architect by profession, problem solver by passion. From code to clouds, I architect AI solutions that transform businesses.

Read My Story
Available for Work
Based in Dubai, UAE (Resident)
Cloud Architecture ML Ops AI Solutions

Featured Projects

Case studies showcasing cloud architecture and AI solutions

Private Secure Document Analyzer

AI-powered PDF/image analysis for government & banks

AWS Bedrock Textract S3

Private Secure Documentation Analyzer

Developed a secure, enterprise-grade document analysis system for government agencies and financial institutions. The solution processes sensitive PDF and image documents with end-to-end encryption, extracting critical information while maintaining strict security and compliance standards.

Key Features

  • End-to-end encryption for documents at rest and in transit
  • OCR and intelligent field extraction from PDFs and images
  • Multi-format document support with automated classification
  • Audit trails and compliance reporting for regulatory requirements
  • Role-based access control with fine-grained permissions

Tech Stack

AWS Bedrock Textract S3 KMS Lambda API Gateway

Results

  • 85% reduction in manual document processing time
  • 99.5% accuracy in data extraction
  • Full compliance with government security standards
  • Processing 10,000+ documents daily

UAE Laws RAG Chatbot Application

AI-powered legal assistant with vector search

RAG Pinecone LangChain

UAE Laws RAG Chatbot Application

Built a public-facing AI chatbot application that provides instant access to UAE legal information. Using Retrieval-Augmented Generation (RAG) and vector database technology, the system enables users to query complex legal documents through natural language conversations, making UAE laws accessible to everyone.

Key Features

  • Retrieval-Augmented Generation (RAG) for accurate legal responses
  • Vector embeddings stored in Pinecone for fast semantic search
  • Natural language queries with context-aware responses
  • Multi-language support (English and Arabic)
  • Citation and source tracking for transparency

Tech Stack

AWS Bedrock LangChain Pinecone Python FastAPI React

Results

  • 10,000+ queries processed monthly
  • 92% user satisfaction rate
  • Sub-2 second response time for complex queries
  • 95% accuracy in legal information retrieval

Hospital Customer Support Portal

AI-powered call center & appointment booking system

AWS Connect Lex Lambda

Hospital Customer Support Portal

Developed an intelligent customer support portal for hospitals that handles patient calls, provides information, and enables appointment booking. The system uses AI-powered voice and chat interactions to streamline patient services while reducing call center workload by 70%.

Key Features

  • AI-powered voice bot for 24/7 call handling and routing
  • Automated appointment scheduling with calendar integration
  • Multi-channel support (phone, web chat, mobile app)
  • Patient verification and secure access to medical records
  • Real-time queue management and wait time estimates
  • Intelligent call routing based on urgency and department

Tech Stack

AWS Connect Amazon Lex Lambda DynamoDB API Gateway SNS

Results

  • 70% reduction in call center workload
  • 5,000+ appointments booked monthly via automation
  • 88% patient satisfaction score
  • Average wait time reduced from 8 minutes to 90 seconds

Dubai Real Estate RAG System

AI-powered property search and recommendation engine within Whatsapp

RAG Vector DB LLM

Dubai Real Estate RAG System

Built an intelligent real estate platform for Dubai properties using Retrieval-Augmented Generation (RAG). The system combines vector search with AI to provide personalized property recommendations, market insights, and conversational property search, transforming how users discover and evaluate real estate in Dubai.

Key Features

  • Semantic property search using natural language queries
  • AI-powered property recommendations based on user preferences
  • Real-time market analysis and price predictions
  • Neighborhood insights and amenity information
  • Conversational interface for property questions
  • Multi-modal search (text, images, location)

Tech Stack

AWS Bedrock LangChain Pinecone OpenSearch Lambda API Gateway

Results

  • 50,000+ property listings indexed and searchable
  • 93% user satisfaction with AI recommendations
  • 40% increase in property viewings through intelligent matching
  • Average search time reduced from 15 minutes to 2 minutes

Let's Build Something Amazing

Available for consulting, architecture reviews, and full-time opportunities