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Full Stack Engineer with 2+ years in scalable backend systems, microservices, and AI-powered applica
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Full Stack Developer focused on scalable backend systems, microservices architecture, and modern web applications using Node.js, React, Next.js, and TypeScript. Experience includes building API gateways, event-driven systems, JWT authentication flows, Dockerized services, and AI-powered applications. • Built an event-driven order processing system with failure handling and workflow automation (AutoNexis) • Developed a Dockerized ecommerce microservices backend with API Gateway, JWT auth, and RBAC • Developed an AI-powered document chat system using RAG, vector embeddings, and semantic retrieval
Yenepoya University
Bachelor of Computer Applications (BCA)
August 1, 2026 – Present
Brototype
Full Stack Development Program (MERN)
August 1, 2024 – Present
GVHSS Vengara
Higher Secondary Education · Science
June 1, 2022 – May 31, 2023
Ecommerce Microservices Backend
June 21, 2026 – Present
Dockerized ecommerce backend built using microservices architecture and API Gateway pattern. Built isolated Auth, Product, and Order services with centralized API Gateway Implemented JWT authentication, refresh token flow, and role-based access control (RBAC) Added Swagger/OpenAPI documentation, validation middleware, and centralized error handling
View ProjectAI Doc Chat
June 21, 2026 – Present
AI-powered document chat system using retrieval-augmented generation (RAG). Built RAG pipeline for document parsing, chunking, and embedding Implemented semantic search for relevant context retrieval Integrated Gemini API for context-grounded responses
View ProjectNoozi Creative Studio Website
June 21, 2026 – Present
Built responsive UI using React and Vite
View ProjectAutoNexis
June 21, 2026 – Present
Event-driven order processing system for handling failures, retries, and asynchronous workflows. Designed event-driven architecture using queues for asynchronous processing Implemented retry pipelines with exponential backoff and dead letter queues (DLQ) Built workflow automation and REST APIs with structured logging
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a proactive and self-driven approach to learning and applying diverse technologies. The projects cover various domains (e-commerce, event processing, AI chat, web design), indicating adaptability and a broad interest in different technical challenges. This diversity aligns well with a dynamic team environment. The focus on modern web technologies and scalable systems suggests a good fit for a forward-thinking engineering culture.
Soft Skills & Operational Fit
The candidate's resume indicates a strong technical foundation through personal projects. However, without completed psychometric or English tests, it's difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration. The project descriptions are clear and concise, suggesting good technical communication, but general communication clarity and professional language usage cannot be fully evaluated.