PROSENJIT DAS
Cloud & AI Architect & Consultant Driving Innovation
Ready for work
PROSENJIT is ready for their next project!
Legacy BizTalk to Azure iPaaS Migration
Designed and led the enterprise migration of a large-scale integration landscape from Microsoft BizTalk Server to Azure Integration Platform as a Service (iPaaS), modernizing over 500+ enterprise integrations while minimizing business disruption. The solution transformed tightly coupled, on-premises middleware into a scalable, event-driven, cloud-native integration platform using Azure services.
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LLM Evaluation & AI Data Annotation Platform-This project focused on improving the quality, accuracy, and reliability of Large Language Models (LLMs) through human-in-the-loop evaluation, AI data annotation, and prompt engineering.
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I've been exploring how AI can make security operations faster and more effective by reducing the manual effort required during incident investigations.
In this project, I built an AI-powered Security Investigation Agent using Claude API, AWS, and n8n.
The workflow automatically:
🔹Detects high-severity findings from GuardDuty, Security Hub, CloudTrail, and CloudWatch.
🔹 Correlates logs and infrastructure events to build a complete incident timeline.
🔹 Uses Claude to analyze the security context, identify likely attack patterns, and generate an investigation summary with recommended remediation steps.
🔹 Creates Jira tickets, notifies teams via Slack, and can trigger approved automation workflows while keeping production changes under human approval.
The goal wasn't to replace security engineers—it was to eliminate repetitive investigation work so teams can focus on making decisions faster.
Projects like this are where I see AI creating the most value: augmenting DevOps and Security teams with practical, production-ready automation.
I'd love to hear how others are using AI agents in cloud operations or security engineering.
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Over the past year, I've been building cloud-native platforms, AI-powered DevOps automation, and secure AWS architectures for startups and growing businesses.
My recent work includes developing AI-assisted DevOps and Security agents using the Claude API, n8n, and AWS to automate incident investigation, CloudWatch log analysis, deployment validation, and security audits. I've also implemented LLMOps observability with Langfuse and OpenTelemetry to monitor AI workflows, prompts, latency, and execution traces.
Beyond AI, I've architected scalable AWS solutions for video streaming platforms, designed HIPAA-compliant healthcare infrastructure, modernized eCommerce platforms through BigCommerce migrations, and built CI/CD pipelines with GitHub Actions, Terraform, and Kubernetes.
I enjoy solving complex infrastructure problems by combining cloud architecture, automation, observability, and AI to improve reliability, security, and engineering productivity. My focus is always on building production-ready systems that reduce operational overhead while enabling teams to move faster with confidence.
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