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Fullstack Engineer with 4+ years in MERN Stack & AI Integration
Results-driven Full Stack Developer and Software Engineer with 4+ years of experience designing, building, and deploying scalable web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Proven record of measurable impact: 40% reduction in API calls, 32% faster page load times, 35% less boilerplate code, and 28% higher user engagement across enterprise and e-commerce platforms. Skilled in REST API design, microservices architecture, database modelling, JWT/OAuth authentication, CI/CD, and cloud deployment (AWS). Complementary expertise in Generative AI integration - OpenAI APIs, Retrieval-Augmented Generation (RAG), vector embeddings, LLMs, and Prompt Engineering - enabling intelligent features such as AI chatbots and semantic search. Microsoft Certified Azure Developer (AZ-204). Adept at Agile/Scrum delivery, cross-functional collaboration, and code reviews.
Jawaharlal Nehru Technological University (JNTU)
B.Tech · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Unizen Technologies Pvt Ltd
Full Stack Developer
April 1, 2025 – Present
Bengaluru, Karnataka, India
Middleware Talents Ltd
Full Stack Developer
August 1, 2024 – March 1, 2025
Bengaluru, Karnataka, India
Scubel Soft Services Pvt Ltd
Frontend Developer
June 1, 2022 – July 1, 2024
Hyderābād, Telangana, India
VLCC - Full Stack AI-Powered E-Commerce Platform
May 1, 2024 – February 1, 2025
Designed full RESTful API layer (Node.js/Express.js) with versioned endpoints, JWT-secured routes, RBAC middleware, and structured error handling - serving all frontend modules from a single scalable backend. Modelled and optimised MongoDB schemas with Mongoose ODM; applied compound indexing and aggregation pipelines to improve data retrieval performance by 22%. Implemented secure authentication and authorisation with JWT + RBAC, including refresh-token rotation and role-scoped API access for admin, seller, and buyer personas. Integrated OpenAI APIs, RAG pipeline, and vector embeddings for AI-powered product search and a customer support chatbot - improved response accuracy and customer engagement by 25%. Achieved 40% fewer API calls, 32% faster page loads, 28% higher user engagement, and 20% lower cart abandonment; reduced test-writing effort by 35% via GitHub Copilot. Deployed application on AWS S3 + CI/CD pipelines; delivered fully WCAG-compliant, accessible, responsive UI across desktop and mobile.
CBRE Construction Management - Enterprise Procurement Web App
June 1, 2022 – July 1, 2024
Built scalable enterprise procurement platform serving multiple business units; engineered RESTful backend APIs with Node.js/Express.js, handling complex procurement workflows, product catalogues, and vendor data. Designed MongoDB data models for products, vendors, and orders; optimised queries and applied indexing to reduce data-fetch latency and improve API response times. Developed a shared component library reducing code redundancy by 25%+; applied Redux Thunk/Saga for async API orchestration, cutting UI render times and improving state predictability. Ensured production stability through Jest unit and integration tests and systematic performance profiling; maintained WCAG accessibility compliance.
Personal Finance Tracker - Full Stack Application
January 1, 2022 – January 1, 2023
Built a full-stack personal finance application with Node.js/Express.js REST API backend, MongoDB data layer, and a React.js dashboard providing real-time income, expense, and budget visualisations. Implemented JWT authentication, RBAC, and AES data encryption for sensitive financial records; achieved 25%+ API efficiency through RESTful optimisation and query tuning. Improved page load speed by 30%+ via code splitting and lazy loading; ensured cross-device responsiveness with Bootstrap and adaptive layout design.
Microsoft Certified: Azure Developer Associate (AZ-204)
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce platforms to enterprise procurement and personal finance trackers, indicates adaptability and a broad interest in different problem domains. Their experience across multiple companies and roles (Frontend Developer, Full Stack Developer) shows a willingness to grow and take on new challenges. The emphasis on performance optimization, accessibility, and AI integration aligns with modern development best practices, suggesting a forward-thinking and quality-conscious approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through consistent delivery in Agile/Scrum environments, active participation in code reviews, and a focus on maintainable, reusable code. Their project descriptions highlight collaboration with UI/UX designers and a results-driven approach, indicating good team integration potential. The use of GitHub Copilot and Generative AI tools suggests an adaptive and efficient work attitude.