
Architected a full-stack AI SaaS dashboard using Next.js (App Router), TypeScript, and Tailwind CSS, delivering a highly responsive, Vercel-style premium user interface with interactive glassmorphism components.
Integrated Google Gemini AI (LLM) to develop an advanced natural language processing engine that extracts resume data, evaluates ATS compatibility, and generates intelligent, context-aware improvement suggestions.
Engineered scalable backend APIs and database architecture using MongoDB and Mongoose, supporting efficient CRUD operations, cascading deletions, and persistent storage of resume data, analytics, and history logs.
Implemented secure authentication and file management using NextAuth.js (Google OAuth provider) and UploadThing, enabling seamless session handling and cloud-based PDF/DOCX uploads.
Optimized application performance and user experience by resolving strict TypeScript constraints, handling complex asynchronous data flows, and implementing dynamic skeleton loaders for smooth UI transitions.
Tech Stack & Keywords (Skills Section)
Frontend: Next.js 14, React, TypeScript, Tailwind CSS, Shadcn UI, Framer Motion (Animations).
Backend: Node.js, Next.js Server API Routes.
Database & Cloud: MongoDB, Mongoose, UploadThing (File Storage).
AI & Integrations: Google Gemini AI SDK, Natural Language Processing (NLP), NextAuth (OAuth 2.0).
Core Concepts: SSR (Server-Side Rendering), RESTful APIs, Git/GitHub, Vercel Deployment, SaaS Architecture.
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