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AI Engineer with 4+ years in Node.js, AI/ML & Cloud technologies.
Senior Software Engineer and Node.js Developer with 5 years of experience in full stack development, backend engineering, REST API development, microservices architecture, and AI engineering. Delivered enterprise software solutions for Fortune 500 companies including Shell, Collins Aerospace, Fortune Brands, Vertiv, and Kroll. Experienced in Node.js, Express.js, TypeScript, React.js, MongoDB, PostgreSQL, AWS, Docker, Kubernetes, CI/CD pipelines, System Design, and Distributed Systems. Hands-on expertise in AI development, LLM integration, RAG pipelines, LangChain.js, and Vector Databases. Proven ability to improve API performance by 20-30%, reduce manual effort by 80%, and deliver scalable backend systems under enterprise SLAs. Actively seeking Senior Software Engineer, Backend Engineer, Node.js Developer, Full Stack Developer, or AI Engineer roles.
Government College of Engineering, Tirunelveli
Bachelor of Engineering (B.E.) · Computer Science and Engineering
August 1, 2017 – June 30, 2021
Chainsys Software Exports Pvt. Ltd.
Senior Software Engineer
April 1, 2021 – December 31, 2025
India
F1 2026 Regulation RAG Chatbot
January 1, 2026 – June 1, 2026
Designed and developed an end-to-end Retrieval-Augmented Generation (RAG) AI application for natural language querying of F1 2026 technical regulation documents using LangChain.js and Ollama LLM. Built complete AI data pipeline including document ingestion, intelligent chunking, embedding generation, and vector storage in Supabase Vector DB minimizing LLM hallucinations through precision retrieval. Full stack implementation: React.js frontend with Node.js and LangChain.js backend demonstrating end-to-end AI application development capability.
SmartAppBuilder - Backend API System
January 1, 2026 – June 1, 2026
Architected multi-layer Redis caching system reducing database load while maintaining data consistency across 3,000+ daily REST API requests. Implemented BullMQ-based asynchronous job queue for background task processing improving system throughput and reliability in distributed environment. Built real-time monitoring and logging infrastructure enabling proactive performance management and rapid incident response.
Enterprise API Security Framework
January 1, 2026 – June 1, 2026
Designed reusable security middleware library deployed across multiple Fortune 500 enterprise environments achieving zero security incidents over 5 years of production operation. Implemented JWT authentication, OAuth 2.0 authorization, CORS policies, and intelligent rate limiting as composable Node.js middleware modules.
Cultural Fit Analysis
The candidate's experience across multiple Fortune 500 enterprise environments (Shell, Collins Aerospace, Vertiv, Kroll) and diverse project types (RAG Chatbot, API Security Framework, Backend API System) indicates adaptability and a broad understanding of different business contexts. The focus on delivering mission-critical systems and improving efficiency aligns well with a high-performance culture. The mention of technical mentoring also suggests a collaborative mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong technical mentoring skills and experience with Agile, Scrum, and Code Review methodologies, indicating good operational fit and ability to contribute to team productivity and code quality. The professional summary highlights a proven ability to improve API performance and deliver scalable backend systems under enterprise SLAs, suggesting a results-oriented approach.