Priyanka Shah
Full Stack Developer & AI Engineer
Backend: Nextjs, Node.js, Express.js, Python, REST, Razorpay Integration,
Database: MongoDB, PostgreSQL, Prisma
Cloud: AWS (S3, EC2, SES), Docker, CI/CD
AI/ML: OpenAI API, Data Science, Machine Learning
Full Stack Developer & AI Engineer
Building the future with cutting-edge technology and innovative solutions
< TECH_STACK />
< FEATURED_PROJECTS />
Showcasing innovative solutions and cutting-edge technologies

Course Selling Application
Developed a full-stack course-selling platform with features like user authentication, payment integration, and image storage. Integrated RazorPay for seamless payment processing and AWS S3 for secure image storage. Designed and implemented an admin dashboard where admins can create, edit, and delete courses.

Linkly – Shorten Your Long Links
Built a full-stack URL shortening platform with analytics and QR code generation. Enabled users to shorten URLs, track clicks, and get daily engagement insights. Gained 20+ active users and launched on Product Hunt.

Station Frontend Clone
Developed a frontend clone of Station with focus on replicating the design and functionality with a responsive layout. Showcased advanced CSS skills and attention to detail in UI/UX implementation.

Digital marketing agency Frontend
Engineered a fully responsive UI for smooth experiences across all devices. Built reusable React components with clean prop management, and resolved complex Next.js issues to improve app stability and performance.

Real-Time Notes Collaboration App
Built a real-time collaborative note-taking platform with rich text editing, auto-saving, and secure sharing. Implemented Socket.IO for live updates and integrated NextAuth for authentication.
< EXPERIENCE />
Journey through innovation, growth, and technical excellence
Bachelor in Computer Science and Engineering
Specialization: Data Science and Artificial Intelligence
Full Stack Software Developer
Baaz.pro
Built and deployed a full-stack hiring platform on AWS. Enabled HRs to post jobs and auto-evaluate applicants using a custom LLM; shortlisted candidates progress to HR and assignment rounds. Handled inter-service communication between Next.js frontend and Python/Django LLM backend.
TECHNICAL_SKILLS = {
'Frontend': [
- 'ReactJS',
- 'Next.js',
- 'zustand',
- 'Tailwind CSS',
- 'shadcn',
- 'framer-motion',
- 'javascript',
- 'TypeScript',
- 'Storybook',
'Backend': [
- 'Nextjs',
- 'Node.js',
- 'Express.js',
- 'Python',
- 'REST',
- 'Razorpay Integration',
'Database': [
- 'MongoDB',
- 'PostgreSQL',
- 'Prisma',
- 'Mongoose',
- 'Redis',
'DevOps': [
- 'AWS',
- 'Docker',
- 'CI/CD',
- 'Nginx',
- 'Linux',
- 'Git',