Dinushi Dhananjani
DevOps Engineer specializing in Cloud Infrastructure, Automa
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📄🤖 Turning lengthy documents into actionable insights with AI.
I recently built an AI-powered PDF summariser that helps users quickly understand and interact with large documents without spending hours reading through them.
✨ Key Features:
✅ Upload and process PDF documents
✅ Generate concise AI-powered summaries
✅ Ask questions and chat with the document content
✅ Extract key points and insights instantly
✅ Improve productivity and knowledge discovery
✅ Support for research papers, reports, manuals, and study materials
🛠️ Tech Stack:
• Python
• FastAPI
• Next.js
• LangChain
• OpenAI / Gemini
• Vector Database
• Docker
This project demonstrates how generative AI and retrieval-augmented generation (RAG) can transform static documents into intelligent, searchable knowledge sources.
Excited about the possibilities of AI-powered applications and building solutions that enhance productivity and learning.
#AI #GenerativeAI #LLM #RAG #Python #FastAPI #NextJS #LangChain #MachineLearning #ArtificialIntelligence #SoftwareEngineering
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📊 Visibility is no longer optional—it's a requirement for reliability.
Recently, I designed and implemented an end-to-end observability pipeline on Google Cloud Platform to provide full-stack visibility across applications and infrastructure.
The solution enables:
✅ Centralized logging, metrics, and distributed tracing
✅ Real-time monitoring and alerting
✅ Faster troubleshooting and root cause analysis
✅ Proactive incident detection and response
✅ Improved reliability and operational efficiency
✅ Scalable and cost-effective observability architecture
Key technologies include:
🔹 Google Cloud Monitoring & Cloud Logging
🔹 Cloud Trace
🔹 OpenTelemetry
🔹 Pub/Sub
🔹 BigQuery
🔹 Grafana & Custom Dashboards
Observability is more than monitoring—it's about understanding the health and behaviour of systems, reducing MTTR, and building reliable platforms that scale with business growth.
Services I provide
☁️ Cloud Architecture & Migration
⚙️ DevOps & Platform Engineering
📈 Observability & Monitoring Solutions
🔄 CI/CD & Infrastructure Automation
🏗️ Infrastructure as Code (Terraform)
💰 Cost Optimization & Reliability Engineering
Interested in building reliable and observable cloud platforms? Feel free to connect.
#Observability #SRE #DevOps #PlatformEngineering #GoogleCloud #CloudMonitoring #OpenTelemetry #CloudArchitecture #InfrastructureAsCode #Grafana #ReliabilityEngineering
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🚀 Building reliable systems is about more than deploying infrastructure—it's about enabling businesses to scale efficiently and confidently.
Recently, I designed and implemented an enterprise-grade cloud architecture and observability pipeline with a strong focus on business requirements, reliability, and cost optimization.
Key capabilities delivered:
✅ Scalable and production-ready cloud architecture
✅ Infrastructure as Code (Terraform) and automation
✅ CI/CD pipelines for faster and safer deployments
✅ Centralized observability with logs, metrics, traces, and alerting
✅ Performance and cost optimization strategies
✅ Security and reliability best practices
✅ Proactive monitoring and incident response
Services I provide:
☁️ Cloud Architecture & Migration
⚙️ DevOps & Platform Engineering
📈 Observability & Monitoring Solutions
🔄 CI/CD & Infrastructure Automation
🏗️ Infrastructure as Code (Terraform)
🔒 Reliability, Security & Cost Optimization
🚀 Production-Ready Enterprise Solutions
I enjoy helping startups and growing businesses build scalable, resilient, and cost-effective platforms that support long-term growth.
Feel free to connect if you're looking to modernize your infrastructure or build cloud-native solutions.
#CloudArchitecture #DevOps #PlatformEngineering #SRE #Terraform #Observability #GCP #AWS #InfrastructureAsCode #CloudComputing #CostOptimization #Automationoptimisation.
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GCP Infrastructure Architecture & Deployment for B2B Startup Application
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