Prateek Maurya

Prateek Maurya

MERN stack || fullstack developer
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Location:
Noida, Uttar Pradesh, India
Experience:
1 year
PRATEEK MAURYA #-— ï linkedin.com/in/USER — § github.com/USER Skills Languages C++, Java Script, Type Script Database Mongodb, PostgreSQL, Mongoose Frameworks React.js, Next.js, Node.js, PrismaOrm Tools Docker, Git, GitHub Experience Bridge HealthCare Apr 2025 – May 2025 Frontend Developer Intern – Developed company website using Next.js and TypeScript, focusing on responsive and performant design. (Link) – Integrated APIs into a doctor-focused web platform, enhancing frontend functionality and real-time data flow. GSSOC’2024 (Link) May 2024 – Aug 2024 Open Source Contribution ( Petari) – FRONTEND - Redesigned homepage, updated contact form, and built food tracking dashboard using HTML, CSS, and EJS. – BACKEND - Integrated Nodemailer for donation emails and implemented user schema to manage data and interactions. Achievement Data Structure and Algorithms 350+ – LeetCode - 250+ (Link) – Geeks For Geeks - 100+ (Link) Education AKTU Bachelor of Technology in Artificial Intelligence and Machine Learning – Relevant Coursework: Object Oriented Programming, Databases, Data Structures and Algorithms - Projects PAPER-PORTFOLIO / STOCK MARKET TRADING WEBSITE (Link) – Developed a paper trading web application that allows users to execute simulated trades, track live profits and losses, and view historical trade data. – Integrated Socket.IO for real-time updates and live stock price charts, enhancing the user experience with instant data visualization. – Utilized PostgreSQL for efficient data storage and management, ensuring secure handling of user accounts and trade data. FACIAL FINDER / FACE RECOGNITION WEBSITE (Link) – Developed an intuitive platform for easy face registration, allowing users to securely store and retrieve personal information via facial analysis. – Integrated real-time facial recognition with automatic gender detection, displaying user details and notifying when faces are unregistered. – Built using the MERN stack and TypeScript, ensuring improved performance, scalability, and reliable functionality across various applications. TALENT-TRAVERSE / INTERNSHIP / JOB WEBSITE (Link) – Utilized SCRAPERAPI library to efficiently scrape and retrieve data, converting it into API calls for streamlined data collection and processing. – Explored the CHEEROI library to refine and enhance extracted data, focusing on selecting specific elements and tags to improve user experience. – Implemented NODEMAILER to secure the ”Forget Password” feature, sending recovery codes to users’ Gmail addresses for a seamless and secure password reset process. SOCIAL MEDIA PLATEFORM (Link) – Built a web app with MongoDB, Express.js, React, and Node.js for a fast, scalable platform. – Used JWT for secure logins, Bcrypt for password safety, and Multer/Cloudinary for media management. – Added real-time messaging with Socket.io for an interactive user experience.
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