Full Stack Developer | AI/ML Enthusiast | React • Next.js • Node.js | API Integration | B.Tech in Computer Engineering @ ADPIT | CGPA: 8.68 | Class of 2027
I didn't just study web development — I went and built an AI that interviews people.As a Computer Engineering student at ADPIT (CGPA: 8.68), I've spent the last year shipping real products: a voice-powered AI interview platform using VAPI and Gemini API, a full-stack e-commerce site serving a luxury brand, and internships where I worked on live production systems.My stack: React.js, Next.js, Node.js, Firebase, MySQL, MongoDB, AWS S3, Vapi and increasingly — AI APIs.What drives me is the intersection of clean architecture and real-world utility. I care about systems that scale, code that's readable by the next developer, and products that actually solve problems.Currently open to: Full Stack / Backend / AI-integrated product roles (internships & fresher positions).📬 [email protected]
nilmaysystem
2 mos · Anand, Gujarat, India
IntrnForte
3 mos
- Built and deployed full-stack web applications end-to-end, owning both the React frontend and Node.js/Express backend. - Implemented routing, component-based architecture, and complete CRUD operations across multiple project modules. - Applied REST API design principles and tested endpoints using Postman to ensure reliability before integration.
Nilmay System
May 2026 – Jun 2026
Monitored and analyzed product and sales data for the BottleBrain e-commerce platform to support business insights and operational decision-making. Built automation scripts to streamline workflows, analyzed data using Matomo, and collaborated on e-commerce optimization and product management. Gained exposure to data monitoring, analytics pipelines, and automation workflows in a live production e-commerce environment.
Bachelor of Technology - BTech, computer Engineering
Aug 2023 - Jul 2027
CGPA: 8.68 / 10.0
AI-powered placement preparation platform with aptitude tests, coding assessments, and AI-driven mock interviews featuring real-time voice interaction via VAPI. Integrated Monaco Editor for in-browser coding, Firebase for authentication and real-time data storage, and analytics dashboards for personalized learning paths and interview readiness scoring.
Full-stack e-commerce application for a luxury soap brand using a three-tier architecture with React.js and Context API, Node.js and Express REST APIs, and a normalized MySQL schema. Implemented JWT authentication, dynamic category-based product theming, optimized SQL queries, responsive product browsing, cart management, and checkout flows.