Innovative Software Engineer with extensive experience in full-stack
development, cloud solutions, and leading cross-functional projects. Adept in leveraging advanced skills in React, Node.js, and API development to build scalable, user-centric applications. Eager to contribute expertise in software architecture and DevOps
to drive success in a dynamic engineering team.
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- Multi tenant architecture with role-based access control
- AI driven ticket triaging and automated response generation
- Knowledge base embedding and semantic search
- Real time analytics and conversation tracking
- Webhook/API integrations with third-party CRM and communication tools
- Scalable cloud deployment with CI/CD automation
I designed and developed a scalable, multi-tenant AI-powered support automation platform that enables businesses to streamline customer service operations through intelligent automation and centralized management.
The platform supports multiple organizations within a single infrastructure, ensuring tenant-level data isolation, configurable workflows, and secure access control. It integrates Large Language Models (LLMs) to automate ticket classification, contextual response generation, knowledge retrieval and conversation handling across web and messaging channels.
Key Features:
- Architected multi-tenant SaaS system (Next.js + FastAPI)
- Designed LLM-based intent routing & RAG pipeline
- Implemented Redis caching + background task queue
- Deployed via Docker + CI/CD pipeline
- Optimized latency for high concurrency usage
Built a scalable SaaS platform that automates customer support using LLM-powered AI agents. The system integrates with CRM tools and messaging APIs, handling real-time conversations, intent classification, and auto-escalation. Reduced support workload by 60% and improved response time to under 2 seconds.
Key Roles:
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