Manish Pandey

github.com/hmpmanish | hmpmanish.github.io/info | hmpmanish.dev@gmail.com

B.Tech Computer Science & Engineering student with hands-on experience in full-stack web development, backend architecture, and AI/ML-oriented projects. Passionate about problem-solving, rapid learning, and building scalable software products and developer tools.

Education

Sharda University 2025 – 2029

B.Tech – Computer Science & Engineering

UP Board 2025

Senior Secondary (Class 12)

Technical Skills

Languages: Python, Java, C, C++, JavaScript, TypeScript

Frontend: HTML, CSS, React.js, Next.js, Tailwind CSS

Backend: Node.js, Express.js, Flask, REST APIs

Databases: MongoDB, MongoDB Atlas, SQLite

Tools & Cloud: Git, GitHub, JWT, Socket.IO, Cloudinary, Vite, Render, Vercel

Projects

Pandey Traders – Full-Stack Business Platform

Next.js, TypeScript, Node.js, Express, MongoDB, Tailwind CSS

Developed a modern, responsive full-stack platform to streamline operations for an agriculture business.
Built REST APIs using Node.js and Express to handle data transactions and user authentication.
Integrated Cloudinary for efficient media asset management and prepared deployment pipelines for Render and Vercel.

Jaymani Krishi Sewa

Flask, SQLite, JWT Auth

Designed a digital marketplace backend connecting regional farmers with local agricultural suppliers.
Implemented role-based access control and JWT authentication to secure endpoints.
Engineered an administrative dashboard, database migrations, and seed scripts to manage products efficiently.

Sharda Connect

MERN Stack, Socket.IO

Built an anonymous communication platform for students to foster campus engagement.
Implemented real-time messaging functionality utilizing Socket.IO and WebSockets.
Developed an administrative moderation dashboard to manage platform safety and users.

Resume Analyzer

MERN Stack

Developed a web application architecture for automated resume processing and candidate metric analysis.
Focused on building a scalable, practical tool aimed at improving resume quality and feedback loops.

Motion Tracking & Hand Detector

Python, OpenCV

Created computer-vision applications capable of real-time hand detection and motion tracking.
Implemented algorithms for movement recognition and interaction using live camera inputs.

Core Strengths & Achievements

Strengths: Full-Stack Development, Problem Solving, Rapid Learning, Debugging, UI/UX Implementation, Team Collaboration.
Achievements: Google Cloud Skills Boost completions, NPTEL learning, Active Open-Source Contributor.