Sneh Patel

Full Stack Developer · AI Applications

Surat, Gujarat, India

@sneh_patel

LinkedIn GitHub

0 followers

🎓 Bachelor of Engineering in Computer Engineering at Gujarat Technological University · Graduating 2027

About

Full Stack Developer with experience building modern web applications using React.js, Next.js, TypeScript, Express.js, PostgreSQL, and AI-powered tools. Focused on clean, maintainable code, secure full-stack architecture, and production-ready user experiences.

Experience

Full Stack Developer Intern

Larsen & Toubro (L&T)

Jul 2026 – Present

Developed responsive web applications using React.js, built reusable components and modern UI designs, integrated secure REST APIs using ASP.NET/.NET, worked across the stack on full-stack features, collaborated with team members using Git and GitHub, and participated in debugging and testing to maintain code quality and reliability.

Education

2027

Bachelor of Engineering (B.E.)

Gujarat Technological University

Computer Engineering · 2027

Computer Engineering

Skills

<3 months

C SQL CSS HTML Gsap NumPy React Python Pandas Node.js Next.js LangChain LangGraph Shadcn/Ui Socket.io Express.js JavaScript TypeScript Prisma ORM Drizzle ORM Electron.js Tailwind CSS TanStack Query

Tools / apps / platforms

3 to 6 months

Git GitHub

<3 months

Groq Neon Linux Redis Cursor Gemini QDrant MongoDB VS Code PostgreSQL Jupyter Notebook

Projects

Dropee ↗

Next.js, PostgreSQL, Drizzle ORM, Clerk, ImageKit, TailwindCSS

Secure cloud storage platform with folder-based file organization, file preview, download management, starred files, trash recovery, permanent deletion, and protected user access control.
QuizSprint – Real-time Quiz App ↗

TypeScript, React.js, PostgreSQL, Prisma ORM

Multi-round real-time quiz application with automated qualification and elimination logic, admin quiz management tools, and secure authentication with email verification and password recovery.
WhisperPDF ↗

React.js, TypeScript, Redis-Stack, LangChain, Gemini, Clerk, BullMQ, Qdrant

Conversational PDF chatbot that answers questions from documents using RAG, with page-level citations, background task queues, and efficient vector retrieval.
OPAL ↗

Next.js, TypeScript, shadcn/ui, TanStack Query, Electron, Express.js, Prisma ORM, Neon, Socket.io, Groq, Stripe, ImageKit

End-to-end screen-recording platform with an Electron desktop recorder and a Next.js web app, including AI titles, transcripts, RAG, workspaces, comments, trimming, sharing, real-time sync, notifications, and Stripe billing.

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